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Audit Your SQL Server Like a Pro, Avoid Bias in Marketing Mix Models, Toyota’s AWS Migration Story @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Looking to build, train, deploy, or implement Generative AI?Meet Innodata — offering high-quality solutions for developing and implementing industry-leading generative AI, including:➤ Diverse Golden Datasets➤ Supervised Fine-Tuning Data➤ Human Preference Optimization (e.g. RLHF)➤ RAG Development ➤ Model Safety, Evaluation, & Red Teaming ➤ Data Collection, Creation, & Annotation ➤ Prompt Engineering With 5,000+ in-house SMEs and expansion and localization supported across 85+ languages, Innodata drives AI initiatives for enterprises globally.Learn More!Sponsored🦋 Welcome to BIPro #79 – Your Weekly Business Intelligence Boost! 🚀Surprised to see us on a Wednesday? We’re testing the best day to deliver your weekly dose of Data Analytics & BI insights! With fresh strategies, tools, and insights, this newsletter will elevate your BI game. Ready to dive in? Let’s go!🚨 Packt Conference Alert! 🚨Stay at the forefront of AI innovation! 🚀 Join us for 3 action-packed days of LIVE sessions with 20+ top experts and unleash the full power of Generative AI at our upcoming conference. Don’t miss out - Claim your spot today!📊 Top Data Trends Shaping the Future✦ Master Pandas in Python: Learn how to analyze and manipulate tabular data effortlessly.✦ Audit Your SQL Server Like a Pro: Discover best practices for monitoring extended stored procedures.✦ PostgreSQL Secrets: Understand the power of VACUUM, AUTOVACUUM, and ANALYZE for efficient data management.✦ Avoid Bias in Marketing Mix Models: Learn how to ensure accurate channel estimates.✦ Dataflow Magic: Unlock insights with derived data views and consistency models.🔄 Real-World Transformations: How Leaders Make Data Work✦ Crack the LLM Code: Dive into the math behind word embeddings.✦ Measure AI Success: Key metrics to track AI adoption and impact.✦ What’s New in Tableau Cloud Manager? Discover features that simplify cloud analytics.✦ Tableau + dbt Labs: How their new partnership is transforming data workflows.✦ Power BI October 2024 Updates: Explore the latest features for better BI reporting.⚡ Quick Wins: BI Hacks for Instant Impact✦ Real-Time Analytics with BigQuery & Bigtable: Build faster data platforms with ease.✦ FastAPI for Beginners: Kickstart your API journey with this simple guide.✦ Smart Stats: 5 innovative statistical methods for small datasets.✦ Shopify’s AI Search Boost: Learn how Shopify improved customer search with real-time ML.✦ 100x Faster Queries in BigQuery: History-based optimizations for lightning-fast performance.✦ Reltio's Transformation: How they scaled data management with Spanner on Google Cloud.🎤 Voices of BI: Insights from Industry Leaders✦ Azure Savings Hack: Use Logic Apps to slash costs.✦ Meet Database Center: AI-powered fleet management for seamless operations.✦ Toyota’s AWS Migration Story: How they achieved zero downtime with Safety Connect.✦ Boost SQL Accuracy with AI: Enrich metadata for perfect text-to-SQL generation.Get ready to boost your business intelligence game! Happy reading!Notion for StartupsThousands of startups use Notion as a connected workspace to create and share docs, take notes, manage projects, and organize knowledge—all in one place.We’re offering 6 months of new Plus plans, including unlimited Notion AI so you can try it all for free!Redemption InstructionsTo redeem the Notion for Startups offer:1. Submit an application using our custom link:https://ntn.so/packtand selectPackton the partner list.2. Include our partner key,STARTUP4110P19151.Free 6-Month Notion Plus Access! 🚀 Use Our Packt Partner Key!SponsoredCalling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽ AI-Assisted Programming for Web and Machine Learning: Unlock the power of AI-assisted programming to streamline web development and machine learning. Learn to enhance frontend and backend coding, optimize ML models, and automate tasks using GitHub Copilot and ChatGPT. Perfect for boosting productivity and refining workflows. Start your free trial for access, renewing at $19.99/month.eBook $18.99 $38.99Print + eBook $32.99 $47.99➽ Machine Learning and Generative AI for Marketing: Leverage AI and Python to revolutionize your marketing strategies with predictive analytics and personalized content creation. Learn to combine advanced segmentation techniques and generative AI to boost customer engagement while ensuring ethical AI practices. Perfect for driving real business growth. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Amazon DynamoDB - The Definitive Guide: Master Amazon DynamoDB with this comprehensive guide, learning key-value data modeling, optimized strategies for transitioning from RDBMS, and efficient read consistency. Discover advanced techniques like caching and analytics integration with AWS services to boost performance, while minimizing latency and costs. Start your free trial for access, renewing at $19.99/month.eBook $17.99 $35.99Print + eBook $30.99 $44.99➽ Microsoft Power BI Performance Best Practices - Second Edition: Master Power BI performance optimization with this guide, learning to build efficient data models, apply row-level security, and troubleshoot issues using DAX Studio and VertiPaq Analyzer. Implement formal performance management strategies to ensure scalable, high-performing solutions. Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99📊 Data Viz Trends Shaping the Future of Insights➽ Explore Pandas in Python to Analyze and Manipulate Tabular Data: This blog introduces the Pandas library in Python, highlighting its importance for data manipulation, analysis, and visualization. It discusses key features such as handling various data formats, data cleansing, integration with other Python libraries, and includes practical examples like creating series and performing arithmetic operations.➽ Audit SQL Server Extended Stored Procedures Usage: This is about enhancing SQL Server security monitoring, focusing on tracking sensitive system stored procedures that can be exploited with elevated permissions. The core concepts include auditing SYSADMIN role usage, monitoring extended stored procedures, and integrating with SIEM solutions for threat detection and forensic analysis.➽ PostgreSQL VACUUM, AUTOVACUUM, and ANALYZE Processes for Deleted Data: This blog is about how PostgreSQL manages deletes and concurrency using Multi-Version Concurrency Control (MVCC). It explores key concepts like the VACUUM and AUTOVACUUM processes, which reclaim space from obsolete rows, and how to optimize these for performance.➽ Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates? This article discusses how a Marketing-Mix-Model (MMM) helps determine the sales impact of investments in different marketing channels. The core idea is that selecting the right variables is critical, as including or omitting certain variables can lead to biased estimates, resulting in poor marketing decisions and financial losses.➽ Dataflow Architecture—Derived Data Views and Eventual Consistency: This article explores the evolution of SmartGym's data pipeline, transitioning from a request-driven to an event-driven architecture. It discusses how this change enabled real-time processing of gym equipment data, enhancing personalized and collective fitness experiences across multiple system versions.🔄 Real-World Transformation: How Gen BI Made Data Work➽ The Key to LLMs: A Mathematical Understanding of Word Embeddings: This article explores how computers can process and understand text data using word embeddings, specifically through Word2Vec. Word embeddings convert words into numerical vectors, capturing their meanings and relationships in context. The article explains how Word2Vec's neural network architecture refines these representations for tasks like text classification and clustering.➽ Measuring AI Adoption and Impact: This article explores how to measure the adoption and impact of AI systems, focusing on key metrics like user adoption, time and cost savings, ROI, training effectiveness, and error reduction. These help ensure successful AI implementation and business value.➽ What is Tableau Cloud Manager? This article introduces Tableau Cloud Manager, an enhancement to Tableau Cloud that allows organizations to manage multiple sites with centralized administration. It improves flexibility, governance, and scalability, making cloud-based analytics more efficient for global and complex deployments.➽ Tableau and dbt Labs: Strategic Partnership and Integration. This article announces a new integration between Tableau and dbt, aimed at enhancing trust, governance, and collaboration in data-driven decision-making. It introduces features like seamless model export, data health checks, and integration with Tableau Pulse, improving data accuracy and efficiency for users.➽ Power BI October 2024 Feature Summary: This October 2024 update highlights key enhancements in Power BI, including the transition from Copilot's quick measure suggestions to Microsoft Fabric Copilot, Azure Map updates, a preview of the New List Slicer, and improvements in AI-driven report creation and visualization tools.➽ Live edit of Direct Lake models in Power BI Desktop: This update introduces live editing of Power BI semantic models in Direct Lake mode, enabling seamless, real-time modifications via Power BI Desktop. It enhances data modeling efficiency and supports export to Power BI Project for professional development workflows with Git integration.⚡ Quick Wins: BI Hacks for Instant Impact➽ Building a real-time analytics platform using BigQuery and Bigtable: This blog discusses the integration of BigQuery and Bigtable through the EXPORT DATA to Bigtable feature, enabling real-time data serving with low latency. It enhances operational systems by bridging analytics and large-scale, high-performance applications, facilitating faster data-driven decisions.➽ Beginner’s Guide to FastAPI: This beginner's guide to FastAPI introduces the Python web framework for building RESTful APIs. It highlights key features like high performance, asynchronous capabilities, and ease of use. The guide covers installation, basic application development, and creating CRUD operations.➽ 5 Innovative Statistical Methods for Small Data Sets: This article highlights five innovative statistical methods suitable for small data sets, including Bootstrap, Bayesian Estimation, Permutation Tests, Jackknife Resampling, and the Sign Test. These methods help data scientists derive insights when traditional approaches may not apply.➽ How Shopify improved consumer search intent with real-time ML? This article explains how Shopify integrates AI-powered search capabilities into storefronts, enhancing product relevance with Semantic Search. Using machine learning embeddings, Shopify processes vast amounts of data in real-time, improving search accuracy and boosting merchant sales.➽ Get up to 100x query performance improvement with BigQuery history-based optimizations: This article introduces BigQuery's history-based optimizations, a feature that speeds up query execution by learning from previous executions of similar queries. It automatically applies optimizations like join pushdown and semijoin reduction, enhancing performance and resource efficiency without user intervention.➽ Reltio's Data Plane Transformation with Spanner on Google Cloud: Reltio, a leader in AI-powered data unification, migrated from Cassandra to Google Cloud's Spanner, achieving enhanced performance, scalability, and reliability. Spanner's seamless integration, scalability, and simplified operations enabled Reltio to optimize data unification while improving availability and reducing operational complexity.🎤 Voices of BI: Lessons from Industry Experts➽ Use Logic Apps To Save Money In Azure: Data Engineering in Fabric. This article discusses how companies can save costs by automating the on/off scheduling of Azure services in lower environments using Azure Logic Apps. By scheduling services like databases and virtual machines to run only during work hours, businesses can reduce expenses while maintaining flexibility for development and testing.➽ Database Center — your AI-powered, unified fleet management solution: This blog introduces Database Center, an AI-powered tool that provides a unified view of database fleets, offering proactive performance and security recommendations, simplifying compliance management, and enabling AI-driven optimization for improved operational efficiency and risk mitigation.➽ How Toyota migrated Its Safety Connect telematics services platform with virtually zero downtime to AWS? This blog details Toyota's migration of its Drivelink telematics platform to AWS to improve system performance and uptime for connected services like Safety Connect. The migration, using blue-green deployments, canary releases, and database replication, ensured near-zero downtime while enhancing scalability and reliability.➽ Enriching metadata for accurate text-to-SQL generation for Amazon Athena: This blog discusses using AI models, like Amazon Bedrock’s Claude, to generate SQL queries from natural language inputs. It emphasizes the importance of metadata for accurate SQL generation, demonstrates the workflow for Athena queries, and addresses metadata management challenges.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

Timescale Brings PostgreSQL into the GenAI Era with pgai Vectorizer, AWS Supply Chain Analytics @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🗞️ Welcome to BIPro #82 – Your Weekly Business Intelligence Boost! 🚀Get ready to supercharge your data-driven journey with this week’s hottest trends, strategies, and insights in the world of business intelligence!📊 Future-Ready Data Visualizations◘ Generative AI: The New Rocket Fuel for Data - Discover how generative AI is transforming data into a powerhouse of insights!◘ Foundations 2024: Boosting Your Data Agility - Get a sneak peek at the BI & Reporting track that will elevate your data game!◘ Mastering SQL Wildcard Searches - Unlock the secrets to optimizing your SQL LIKE queries for better results!◘ NewSQL Systems: Consistency Meets Concurrency - Explore the future of database management with cutting-edge NewSQL solutions.◘ Synthetic Data Simplified with Gretel and BigQuery - Learn how to generate synthetic data seamlessly for robust analytics.🔄 Transformative Insights: Real-World Success Stories◘ Virtualizing AWS Data with Fabric Shortcuts - Streamline your data processes and enhance accessibility with innovative solutions.◘ Timescale & PostgreSQL: Entering the GenAI Era - Unveil the power of pgai Vectorizer in modern data applications.◘ GenAI on Amazon Bedrock: Classifying Jira Tickets - Simplify your project management with intelligent classification techniques.◘ Multimodal AI Search: Revolutionizing Business Applications - Discover how multimodal AI can elevate your search capabilities.◘ October 2024 Google Cloud Database Update - Stay ahead with the latest advancements from Google Cloud.⚡ Quick Wins: BI Hacks for Immediate Impact◘ Demystifying Azure Storage Network Access - Simplify your understanding of Azure storage with practical tips.◘ AI Agents: A New Paradigm in Computer Interaction - Explore the changing landscape of user interaction with AI technologies.◘ Preventing Data Leakage in Preprocessing - Safeguard your data with effective preprocessing strategies.◘ Fabric's October 2024 Monthly Update - Catch up on the latest enhancements and features from Fabric.◘ Empowering Your Data Warehouse with AI Copilot - Discover how AI can streamline your data warehousing efforts.🎤 Voices of BI: Expert Insights◘ Unlocking Supply Chain Data with AWS Analytics - Harness actionable insights to optimize your supply chain performance.◘ Governance Meets AI: Streamlining Analytics - Learn how to integrate Tableau with Amazon DataZone for enhanced analytics.◘ Expanding Data Visualization Options - Amazon DataZone now supports Tableau, Power BI, and more—explore your options!◘ Gaining Insights with AWS DataSync - Utilize AWS Glue, Amazon Athena, and QuickSight for smarter reporting.◘ Data Cleaning Made Easy with Alteryx - Discover the comprehensive tools that transform your data preparation workflows.◘ Maximizing Alteryx Potential - Learn how effective enablement can revolutionize your analytics processes.Get ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸If Data is the New Oil, then Generative AI is the New Rocket Fuel: This blog explores the analogy that while data is likened to oil, generative AI (GAI) acts as its rocket fuel, enhancing data's value. It discusses GAI’s transformative impact on industries, accelerating innovation, boosting productivity, and personalizing experiences while addressing ethical considerations.⫸Accelerate Your Data Agility at Foundations 2024: A Sneak Peek of the BI & Reporting Track. This blog highlights the challenges businesses face in meeting data demands for analytics and decision-making. It introduces Foundations 2024, featuring a dedicated Business Intelligence & Reporting track aimed at enhancing data access. Sessions from industry experts will showcase real-time analytics, empowering organizations, and streamlining financial reporting. ⫸Optimize SQL LIKE Wildcard Searches: This blog explores optimizing SQL LIKE wildcard searches in Microsoft SQL Server. It demonstrates using binary collation and the LOWER() function to significantly enhance performance, reducing query execution time from 17 seconds to 2 seconds.⫸Consistency and Concurrency in NewSQL Database Systems: This blog discusses the emergence of NewSQL databases, designed to efficiently handle large data volumes and transactions while maintaining the reliability of traditional SQL. It highlights their scalability, adherence to ACID properties, and challenges related to consistency in distributed systems.⫸Synthetic data generation with Gretel and BigQuery DataFrames: This blog guides readers through integrating Gretel with BigQuery DataFrames to generate synthetic data while ensuring privacy compliance. It details the installation process, de-identification of patient records, and synthetic data generation, emphasizing the importance of data quality and privacy in AI/ML innovation.🔄 Real-World Transformation: How Gen BI Made Data Work⫸Virtualizing AWS data by using Fabric Shortcuts: Data Engineering with Fabric. This blog discusses the integration of AWS S3 buckets with Microsoft Fabric to create a virtualized data lake, addressing challenges in data management caused by mergers and acquisitions. It explains how to utilize Microsoft Fabric shortcuts for efficient data linking, detailing the process of setting up an AWS trial account and managing data access. The goal is to empower big data engineers to effectively leverage AWS as a source within their Microsoft Fabric Lakehouse design.⫸Timescale Brings PostgreSQL into the GenAI Era with pgai Vectorizer: This blog announces Timescale's launch of pgai Vectorizer, an open-source tool that integrates AI capabilities into PostgreSQL. It enables developers to create advanced AI applications without external tools, reducing infrastructure costs by 75% while streamlining workflows and enhancing efficiency.⫸Classify Jira Tickets with GenAI On Amazon Bedrock: This blog explores setting up a Jira ticket classification system using large language models on Amazon Bedrock, highlighting the advantages of generative AI over traditional machine learning methods. It simplifies text classification, reducing the need for extensive labeled data and complex ML pipelines. The post details the architecture and implementation steps, enabling organizations to gain better insights into team activities for improved resource allocation and decision-making.⫸Multimodal AI Search for Business Applications: This blog discusses the importance of semantic search for multimodal business documents that contain text and visual content. It explores how embedding models can enhance search capabilities, improving information retrieval and decision-making within organizations.⫸Google Cloud database news for October 2024: This blog summarizes October's key updates in Google Cloud databases, highlighting new features in Database Center, ScaNN index for AlloyDB, Firebase Data Connect, and support for PostgreSQL 17 in Cloud SQL, enhancing data management and application development.⚡ Quick Wins: BI Hacks for Instant Impact⫸Demystifying Azure Storage Account Network Access: This blog examines the significance of storage accounts in enterprise data lakes, focusing on network access control for sensitive data. It details service and private endpoints, emphasizing security measures for data science and machine learning operations.⫸Computer Use and AI Agents: A New Paradigm for Screen Interaction. This blog analyzes recent developments in AI agents from Anthropic, Microsoft, and Apple, highlighting the shift from text-based to multimodal agents. It discusses the capabilities, challenges, and risks associated with advanced AI agents like Anthropic’s Claude 3.5 Sonnet.⫸Data Leakage in Preprocessing: This blog addresses the issue of data leakage in machine learning, explaining how it occurs when test data unintentionally influences training data during preprocessing. It focuses on common steps like missing value imputation, illustrating how improper methods can lead to misleading model performance.⫸Fabric October 2024 Monthly Update: This blog provides the October 2024 update for Microsoft Fabric, highlighting new features such as GraphQL support, enhanced sorting and filtering capabilities, and a new certification for data engineers. It also promotes free exam vouchers and an AI learning hackathon.⫸Data Warehouse: Copilot & AI Skill: This blog discusses how AI is revolutionizing data warehousing through Microsoft Fabric's tools: Copilot for Data Warehouse and AI Skill. It outlines their functionalities, differences, and complementary uses to enhance productivity and simplify data access for users.🎤 Voices of BI: Lessons from Industry Experts⫸Unlock the potential of your supply chain data and gain actionable insights with AWS Supply Chain Analytics: This blog announces the general availability of AWS Supply Chain Analytics, integrated with Amazon QuickSight, enabling users to create custom dashboards and reports from AWS Supply Chain data. It highlights features like prebuilt dashboards for demand analysis and seasonality trends.⫸Streamline AI-driven analytics with governance: Integrating Tableau with Amazon DataZone: This blog introduces Amazon DataZone's enhanced data analysis and visualization capabilities through the Amazon Athena JDBC driver. It emphasizes seamless integration with popular BI tools like Tableau, allowing users to query and visualize governed data efficiently, thereby improving data accessibility and governance across platforms.⫸Expanding data analysis and visualization options: Amazon DataZone now integrates with Tableau, Power BI, and more. This blog introduces Amazon DataZone's JDBC driver integration, enabling seamless querying of governed data through popular BI tools like Tableau and Power BI, enhancing data access and governance while empowering teams to analyze data efficiently.⫸Derive insights from AWS DataSync task reports using AWS Glue, Amazon Athena, and Amazon QuickSight: This blog introduces AWS DataSync's task reports feature, which provides detailed transfer reports for data migrations. It outlines how to use AWS Glue, Amazon Athena, and Amazon QuickSight to catalog, query, and visualize task report data for effective tracking and auditing.⫸How to Data Cleaning with Alteryx - A Comprehensive Data Preparation Platform: This blog emphasizes the importance of data cleaning for accurate analysis and decision-making. It introduces Alteryx as a powerful tool for data preparation, detailing its features, functionalities, and best practices to effectively cleanse and prepare data.⫸Unlocking the Potential of Alteryx: How Proper Enablement Can Transform Your Analytics Workflow. This blog discusses the importance of proper enablement for using Alteryx effectively, detailing how training and resources can enhance analytics workflows. It offers tips for creating an enablement program and highlights the benefits of investing in data-driven decision-making.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

BigQuery Metastore, AI-Driven Data Dashboard Prototype, Native Execution in Microsoft FabricStart PII Leak Detection and Data Flow Mapping Where It Matters Most: In the Code92% of breaches in 2023 involved PII. HoundDog bridges AppSec and Data Security with an ultra-fast, lightweight static code scanner that detects PII leaks early, preventing costly fixes later.It automates compliance for frameworks like HIPAA, PCI, GDPR, and FedRAMP, ensuring PII safety from development to deployment. Trusted by Fortune 500s, HoundDog enables shift-left PII prevention with IDE plug-ins and CI/CD integration. Book a demo now to see how HoundDog can streamline your security and compliance efforts!Book a Live DemoSponsored📬 Welcome to BIPro #88– Your Weekly Business Intelligence Boost! 🚀We’re back from the holiday break! We hope you've missed our updates as much as we've missed sharing them with you 😊. We’ve also been working on something exciting to make your learning journey effortless, and we’d love for you to help co-create it with us!Take a quick moment to fill out this survey, and as a thank-you, you'll get access to a free ebook on the AI Crash Course. Now, let’s jump right in! This week, we’re exploring cutting-edge trends and tools to supercharge your data strategy. From Riveron’s exciting new partnership with Alteryx to building apps with the Microsoft Fabric API, we’ve got insights that will elevate your BI game. Plus, we’ve got tips on improving data readiness, enhancing data visualization, and so much more! Let’s dive in 👇Top Insights:➽Survey Reveals Over 50% of AI Leaders Plan to Augment Hyperscaler AI Investments➽Riveron Announces Partnership with Alteryx➽How to Improve Data Readiness for Tableau Cloud➽Building Apps with Microsoft Fabric API for GraphQL➽Important Update coming to R and Python visuals in Power BI➽Boosting Data Accuracy: Resolving Common Data Quality Issues Using SQL➽Introducing BigQuery metastore fully managed metadata service➽Faster data processing with Native Execution Engines in Microsoft Fabric Runtime 1.3Dive in and let this week’s insights supercharge your BI journey! 🚀Design the Learning Journey You Want! 🌟 Help Us Make Your Learning Journey Even Better! 🌟As we mentioned earlier, we've got something exciting in the works to make your experience with Data Science, BI, and ML even easier, and we’d absolutely love for YOU to be a part of it!Your input will help us create the perfect learning experience for you! It’ll only take a few minutes, and as a thank-you, you’ll get full access to a free ebook on the AI Crash Course!👉 Take the Survey Now!Let's make learning even more amazing, together! 💡Take the Survey Now!Cheers,Merlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights⫸Riveron Announces Partnership with Alteryx: Riveron, a business advisory firm specializing in CFO and private equity services, partnered with Alteryx to enhance financial transformations using reporting and analytics tools. This collaboration aims to streamline processes, support data-driven decisions, and enable faster AI-powered business insights.⫸Metabase alternatives: peeking at other Business Intelligence tools: This article compares popular Business Intelligence tools like Metabase, Tableau, Power BI, Looker, Mode, Superset, Domo, and Quicksight. It outlines each tool's strengths, ideal users, and key features, with insights from community feedback, focusing on ease of use, cost, and deployment options.⫸How to Improve Data Readiness for Tableau Cloud: This blog outlines a four-step framework to improve data readiness for AI and self-service in Tableau: 1) Monitor data sources to assess their quality. 2) Identify meaningful objectives aligned with organizational goals. 3) Create and promote certified data assets. 4) Enable users by providing guidance and tools.⫸Building Apps with Microsoft Fabric API for GraphQL: This article highlights how Microsoft Fabric's GraphQL API enables the creation of data applications. It offers efficient data retrieval, flexibility, and single-endpoint access. The architecture leverages a medallion structure with data from the gold layer for analytics. Security is ensured via service principal authentication, and CI/CD pipelines automate app deployment.⫸Amazon QuickSight: 2024 year in review: Amazon QuickSight's 2024 innovations focused on AI, scalability, and user experience. Key features included Amazon Q for natural language data queries, scenario analysis, and unstructured insights. Enhanced visualizations, multi-source integration, and governance improvements were added. QuickSight's capabilities, including expanded regional support and deeper AI integration, empower businesses to analyze data faster and more efficiently.⫸Power BI January 2025 Feature Summary: Power BI's latest update introduces features like "Explore this data" for easier visualization exploration, enhanced Treemap visuals with new tiling methods, and semantic model version history for better management. Additionally, TMDL scripting (preview) allows users to script and modify models efficiently, along with other improvements to reporting and data connectivity.📈 Dive into Databases: SQL Essentials⫸Database Version Control with Git in Azure DevOps: This solution outlines how to use Azure DevOps and Git for version controlling SQL Server database scripts. By storing and backing up database code in Git, users can easily track changes and recover from data loss. The process involves creating a Git repository, writing a PowerShell script to generate and push SQL scripts, and using Azure DevOps for centralized storage and versioning. The solution improves database management and ensures secure, efficient tracking of SQL code changes over time.⫸Things I Wish I Knew as a DBA: This recorded webinar offers valuable insights from a seasoned DBA with over 20 years of experience, focusing on lessons learned from mistakes in areas such as corruption, backup and restore, managing expectations, performance, and security. Attendees will gain practical knowledge through demos and scripts, plus learn about dbWatch, a solution to automate key database management tasks.⫸JSON Data Type in Azure SQL Database: The article discusses the new native JSON data type in Azure SQL Database, offering improved storage efficiency and faster query performance. It covers using JSON functions for manipulation and compares the performance between the JSON data type and NVARCHAR(MAX).⫸Vector DB implementation using FAISS: This article demonstrates implementing an efficient document search system using FAISS (Facebook AI Similarity Search)and sentence embeddings. By leveraging the sentence-transformers library for embedding text and FAISS for vector database management, users can quickly retrieve relevant documents based on queries. The solution is ideal for applications like chatbots, document retrieval, and natural language understanding, and includes practical examples of integrating these technologies for semantic search.⫸Get Started With Vector Search in Azure Cosmos DB: This guide explains how to set up and use the Vector Search feature in Azure Cosmos DB for NoSQL. It walks through configuring a vector database, loading movie data with embeddings, and performing similarity searches in Python, TypeScript, Java, or .NET. The app uses the text-embedding-ada-002 model for vectorization.🔄 Real-World Transformation: How Gen BI Made Data Work⫸Behind the Scenes of a Successful Data Analytics Project: This article outlines a proven approach to tackling data projects. Key steps include defining the problem and objectives, setting expectations with stakeholders, preparing and cleaning data, performing exploratory analysis, building a data story, and ensuring actionable insights are shared and acted upon for meaningful business outcomes.⫸How Most Organizations Get Data & AI Strategy Wrongand How to Fix It? This article discusses the complexities of data strategy, addressing common misconceptions and offering a structured approach for organizations to leverage data effectively. It emphasizes that data strategy is not just about technical capabilities but needs to be integrated with business strategy, focusing on making strategic choices and fostering a data-driven culture.⫸Add Copilot Summaries to Power BI email subscriptions (Preview): The preview of Copilot summaries for Power BI report email subscriptions is now available for standard subscriptions on eligible capacities. This feature delivers insights on reports or specific pages via email. Users can opt-in, preview summaries, and test subscriptions, with some limitations on availability and report types.⫸Important Update coming to R and Python visuals in Power BI: Power BI service visuals will soon be upgraded with Python 3.11 and R 4.3.3, offering up to 2 vCores and updated libraries. Older Python (3.7.7) and R (3.4.4) versions will be retired. This update may affect existing visuals. Ensure compatibility by testing locally before rollout.⫸Charts, Dashboards, Maps, and More: Data Visualization in the Spotlight: This collection of articles covers various topics to elevate your data visualization and analysis skills. Highlights include tips on creating stunning charts, building effective dashboards, mastering geospatial data, and diving into advanced chart types like bump charts, plus AI insights and hands-on projects.⫸Sustainable Business Strategy with Data Analytics: This article explores how data analytics can help align diverse stakeholder interests in sustainability-driven supply chain decisions. It details how manufacturing plants can be strategically optimized for cost-efficiency and minimal environmental impact, using data models to balance production, logistics, and sustainability goals.⚡ Quick Wins: BI Hacks for Instant Impact⫸Enhance your Amazon Redshift business intelligence workloads with gen AI capabilities using Amazon Q in QuickSight: This article explains how Amazon QuickSight, paired with Amazon Redshift, empowers businesses to enhance their business intelligence workflows. It highlights Amazon Q, a feature that allows users to generate visualizations and insights through natural language queries, simplifying data access and decision-making.⫸JSON aggregates in Fabric Datawarehouse (Preview): This article introduces the preview of two powerful JSON aggregate functions in Fabric Data Warehouse: JSON_ARRAYAGG and JSON_OBJECTAGG. These functions simplify the creation of JSON arrays and objects from SQL data, improving query formatting and making it easier to represent complex data structures in JSON format.⫸Build SQL Server APIs Rapidly: In this webinar, DreamFactory CTO Jason Gilmore will showcase how to quickly generate secure, documented REST APIs for Microsoft SQL Server using DreamFactory’s platform. Topics include API generation, exposing stored procedures, data masking, and connecting SQL Server data to low-code dashboards and real-time reports. Attendees can try DreamFactory's SQL Server connector with a free 14-day trial.⫸Faster data processing with Native Execution Engines in Microsoft Fabric Runtime 1.3: This article introduces the Native Execution Engine for Fabric Spark, a new approach to memory management that improves data processing performance. By bypassing the JVM’s garbage collector, it reduces overhead and enhances memory allocation, offering faster data analytics with adaptive scaling and more stable performance without manual memory tuning.⫸Boosting Data Accuracy: Resolving Common Data Quality Issues Using SQL: This article explores how to handle common data quality issues in SQL, including NULL values, inconsistent data formats, invalid characters, duplicates, and non-ASCII characters. It offers practical SQL function examples to identify and resolve these problems, enhancing data integrity for better business insights and decision-making.⫸Introducing BigQuery metastore fully managed metadata service: This article introduces the BigQuery Metastore, a fully managed, scalable metadata service that supports interoperability across multiple data processing engines, including BigQuery, Apache Spark, Hive, and Flink. It helps unify data management and governance, enabling seamless access to data stored in various formats, such as Apache Iceberg, and simplifying metadata management in a lakehouse architecture. The service is serverless, requires no setup, and scales automatically, ensuring efficient data discovery, governance, and query processing at scale.🎤 Voices of BI: Lessons from Industry Experts⫸Survey Reveals Over 50% of AI Leaders Plan to Augment Hyperscaler AI Investments: A survey by DataRobot reveals that over 50% of AI leaders plan to increase investments in hyperscaler AI tools to address issues like interoperability, governance, scalability, security, and high costs. Despite investing heavily in hyperscaler AI, leaders face challenges scaling AI, validating security, and overcoming vendor lock-in. Many are seeking integrated AI solutions that reduce costs, ensure compliance, and accelerate AI initiatives. The DataRobot enterprise AI suite offers a customizable approach that accelerates AI use case delivery and reduces costs while improving security and compliance.⫸Tchibo brews up 10x faster customer insights with AlloyDB for PostgreSQL: Tchibo, a German coffee retailer, boosted customer feedback analysis by adopting AlloyDB for PostgreSQL. The solution improved query speeds from 10 seconds to one, enabling real-time insights. With AI-driven tools like "Customer Voice," Tchibo enhanced decision-making, reduced operational overhead, and positioned itself for scalable growth and innovation.⫸OpenAI Introduces Operator research preview: The newly released Operator is an AI agent that automates tasks on the web. Powered by the Computer-Using Agent (CUA), it interacts with graphical interfaces to perform actions like filling forms or ordering groceries. Initially available to Pro users in the U.S., it aims to expand based on feedback.⫸How to Build a Data Dashboard Prototype with Generative AI? This tutorial demonstrates how to create an interactive data dashboard using Goodreads reading data. It shows how to generate charts with Vizro-AI using natural language prompts and integrate them into a Jupyter Notebook. The resulting dashboard visualizes book reading timelines, reading velocity, and reviews comparison.⫸Optimising Budgets With Marketing Mix Models In Python: This article is the third part of a series on marketing mix modeling (MMM). It covers using MMM to optimize marketing budgets, explaining key concepts like response curves and linear programming. It also includes a hands-on Python tutorial for simulating data, training a model, validating it, and performing budget optimization.⫸The Basics you Must Master Before Diving into Marketing & Product Analytics: This article compares Product Analytics and Marketing Analytics, outlining their key differences in objectives, teams involved, tools used, and KPIs. It emphasizes how both disciplines play a critical role in driving growth, with Product Analytics focusing on user interactions and Marketing Analytics optimizing acquisition campaigns.We’ve got more great things coming your way, see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Tableau Cookbook for Experienced Professionals, Mining Rules from Data using Decision TreesHubSpot announced new developer features, designed to speed up development and embed integrations more deeply into the areas where users are most productiveFrom more extensibile APIs to customizable UI, discover how HubSpot's latest developer tools empower you to build tailored solutions. Explore powerful integration tools and enhanced capabilities that let you create exactly what your customers need, right where they're getting work done.Learn moreSponsoredSubscribe | Submit a tip | Advertise with usWelcome to BIPro 97, where business intelligence meets bold innovation. This edition dives into the frontlines of data transformation, from cutting-edge geospatial mapping in Power BI to the rise of autonomous AI-driven platforms like BigQuery. Learn practical data cleaning in Bash and Python, explore the logic behind rule-based decision trees, and discover how vector thinking is redefining business success.You’ll find real-world success stories, from Prime Video’s stream stability breakthrough to Vivalink’s AI-powered patient monitoring, plus deep dives into Power BI governance, embedded analytics accelerators, and the creative brilliance of Sanofi’s Viz Olympics. And if your dashboards are starting to feel a little… static? The Tableau Cookbook for Experienced Professionals brings the heat, pre-order now for precision performance, enterprise-ready governance, and visuals that actually spark conversation.Whether you're architecting microservices, managing BI environments, or simplifying SQL with pipes, this editiondelivers the insights and tools to move from data to decision, faster and smarter.Merlyn ShelleyGrowth Lead, PacktWhy This Advanced Tableau Cookbook Is the Upgrade You Didn’t Know You NeededTableau Cookbook for Experienced ProfessionalsNow available for pre-order | Shipping April 25, 2025The Tableau Plateau: Why So Many Get StuckAt first, Tableau feels like magic.Drag, drop, and suddenly, your data tells a story.But fast forward a year, and the sparkle starts to fade:- Dashboards are slow and clunky- Your filters conflict, your data models sprawl- Stakeholders ask for secure access, and you realize you’ve hit a wallIt’s not that Tableau can’t do it.It’s that you’ve outgrown the basics.🔧 What Got You Here Won’t Get You ThereThat’s whereTableau Cookbook for Experienced Professionalssteps in. Written by two experts who have trained Fortune 500 teams, led global analytics initiatives, and built enterprise-scale BI systems, this book offers areal-world-tested pathto next-level Tableau mastery.👤Pablo Sáenz de Tejada– Snowflake, Salesforce, The Information Lab👤Daria Kirilenko– DSCOVR Analytics, Stanford UniversityThey’ve seen it all - from confident dashboard dabblers to elite data professionals. And they know the steps it takes to bridge that gap.🚀 The Three Shifts Every Advanced User Must MakePerformanceGo beyond visual appeal - build dashboards that are lightning fast and designed for scale.Learn:- Data model optimization- Tableau Cloud’s Data Management features- Performance troubleshooting with built-in toolsInteractivityStop creating dashboards that “look good.” Start building tools users love to explore.Learn:- Zone visibility and advanced UX workflows- LOD expressions and table calculations- Layered interactivity through dynamic filters and tooltipsGovernanceMaster Tableau in the enterprise arena. Secure it. Scale it. Own it.Learn:- REST API and TabPy integrations- Enterprise security strategies- Tableau’s Content Migration Tool (2025.1 and beyond)🛠️ Real-World Impact in ActionA global retailer’s dashboards were bloated and untrustworthy. After applying this book’s spatial join techniques and content structuring strategies, they reduced load time by 50%, streamlined permissions, and uncovered regional gaps in real-time sales.This book isn’t about “more charts.”It’s about building tools that drive real business decisions.✅ What You’ll UnlockHands-on recipes (60+) from senior consultants- Frameworks for troubleshooting, performance, and secure deployment- Advanced topics like TabPy, APIs, and scalable data modeling- A PDF eBook with purchase for on-the-go access🔓 Ready to Break Through?📅Release Date:April 25, 2025🎁Bonus templates and code samplesfor early buyers💡Free PDF eBookwith Kindle or print purchasePre-Order Now📊 Data Viz Trends Shaping the Future of Insights⭕ New mapping and location analytics capabilities in Microsoft Power BI: This blog introduces three new features in Azure Maps for Power BI: Publish to web for sharing interactive maps online, Data-bound reference layers for real-time contextual insights, and Path layer for visualizing routes, enhancing geospatial analysis and collaboration across industries.⭕ Data Cleaning with Bash: This tutorial shows how to use Bash for efficient data cleaning, covering inspection, handling missing or invalid values, fixing formats, and performing transformations. It explains commands step-by-step, offers reusable scripts, and emphasizes Bash’s power for small to mid-sized datasets.⭕ Tips for Effective Data Cleaning with Python: This article shares five practical strategies for cleaning messy real-world data: context-aware imputation, text standardization, feature engineering, multivariate outlier detection, and automated pipelines with validation. These techniques help create cleaner, more reliable datasets for meaningful analysis and insights.⭕ How to Use Mind Maps in NotebookLM: NotebookLM lets you turn notes and documents into interactive mind maps to organize ideas, plan projects, and explore topics visually. Features include expanding branches, zooming, asking questions, and sharing maps, ideal for studying, brainstorming, or simplifying complex information.📈 Dive into Databases: SQL Essentials⭕ Creating a Date Dimension (Calendar Table) in SQL Server: This guide shows how to build a 30-year Date Dimension table in SQL Server, using recursive CTEs or GENERATE_SERIES, with added metadata like fiscal year, weekends, and date formats, essential for accurate reporting, time-based analysis, and business intelligence tasks.⭕ The complexity of using Power BI in US Sovereign Clouds: This article highlights the challenges U.S. Sovereign Cloud users face with delayed Power BI feature access and unclear documentation. It proposes improvements including clearer version support, a CanIUse-style feature tracker, and a dedicated blog to enhance visibility and planning.⭕ Build Microservice Architecture with Azure: This guide walks through building a microservices architecture on Azure using Container Apps, Dapr, and Bicep for infrastructure as code. It covers provisioning, monitoring, service bus integration, and deploying Node.js apps for pub/sub communication across containerized microservices.🔄 Real-World Transformation: How Gen BI Made Data Work⭕ SQL Matrix Calculator and Operations Toolkit: This blog showcases a complete SQL Server-based toolkit for performing advanced matrix operations, like multiplication, inversion, normalization, and activation functions, directly within the database, enabling efficient, in-database mathematical computing without relying on external matrix calculation tools.⭕ Empowering businesses with smart capacity planning: Introducing the Microsoft Fabric SKU estimator (Preview): This blog introduces the Microsoft Fabric SKU Estimator (Preview), a tool that helps businesses accurately plan and optimize data infrastructure by recommending the right Microsoft Fabric SKU based on workload size, type, and performance needs.⭕ Power BI Workspaces Management and Archiving Best Practices: This blog explores best practices for managing Power BI workspaces, focusing on roles, naming conventions, organization, archiving, and security. It offers practical tips to ensure a clean, efficient, and secure Power BI environment as usage scales.⭕ The Invisible Revolution: How Vectors Are (Re)defining Business Success. This blog explains how vector-based computing is transforming business by enabling machines to understand data through relationships and context, not rigid categories. It introduces vector thinking for business leaders, showing its impact on AI, decision-making, customer insights, and predictive analytics.⚡ Quick Wins: BI Hacks for Instant Impact⭕ Mining Rules fromData: This article explores how to solve business problems using rule-based decision-making, focusing on decision trees. It covers building interpretable models to segment customers, especially when speed, clarity, or compliance is critical, without needing complex machine learning deployments.⭕ Next-Gen Patient Monitoring with Vivalink’s Intelligent Biometrics Platform and AWS: This blog showcases how Vivalink’s Biometrics Data Platform, powered by AWS, enables secure, scalable remote patient monitoring. It highlights real-time health insights from wearable sensors, edge computing, and cloud analytics, improving care delivery, clinical decision-making, and operational efficiency.⭕ Prime Video improved stream analytics performance with Amazon S3 Express One Zone: Prime Video improved its telemetry platform by migrating checkpointing operations to Amazon S3 Express One Zone, reducing HTTP 503 error rates below 0.1% during peak traffic. This ensured stable real-time monitoring and prevented application restarts during major events.⭕ BigQuery emerges as autonomous data-to-AI platform: This blog introduces the latest innovations in BigQuery, positioning it as an autonomous data-to-AI platform. It highlights new AI-powered features like Gemini-assisted data prep, multimodal support, vector search, governance tools, and geospatial analytics, all designed to accelerate analytics, simplify data management, and power intelligent applications at scale.🎤 Voices of BI: Lessons from Industry Experts⭕ Update to the Power BI Embedded Analytics Accelerators Program: This blog announces new updates to Microsoft’s Embedded Analytics Solution Accelerators Partner Program, showcasing innovations from partners like MAQ Software, Reporting Hub, iLink Digital, and the newly introduced Entelexos by Carlo Consulting. These accelerators enhance Power BI Embedded by enabling tenant-specific experiences, AI-powered insights, custom reporting, and scalable deployments, helping businesses deliver rich, self-service analytics in multi-tenant web apps, faster than ever.⭕ Sanofi Power BI Data Visualization Competition: An Inspiring Initiative Focused on the Paris Olympic Games: This blog highlights Sanofi’s global Power BI data visualization competition, themed around the Paris Olympics. It celebrates creativity, storytelling, and analytical skill, showcasing finalist dashboards from 131 participants across 25 countries in a unique blend of sports and data.⭕ How the Colossus stateful protocol benefits Rapid Storage: This blog reveals how Google Cloud’s new Rapid Storage leverages Colossus, a stateful, high-performance file system, to deliver sub-millisecond latency, massive throughput, and durable append support, enabling advanced AI/ML, analytics, and database workloads at cloud scale.*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Amazon SageMaker Unified Studio, BULK INSERT in Fabric Data WarehouseYour Voice Matters – Help Improve Data Science Learning! (+ Get a Free eBook!)Help us enhance Data Science learning with your insights!Take a5-8 min surveyand get:✅ Afree Packt eBook($18 value)✅ Influence future books & courses✅ Early access to new features & perks!👉Take the Survey Now!🗞️Welcome to BIPro#91 – Your Weekly Business Intelligence Boost! 🚀This week, we're diving into cutting-edge developments in data analytics, engineering, and BI.🔹 New & Noteworthy: Hydrolix’s Apache Spark Connector supercharges Databricks with full-fidelity event data, while SmartXML ETL makes loading XML into MongoDB seamless. Plus, we break down how to securely connect Azure Data Lake Storage (ADLS) Gen2 to Microsoft Fabric using OneLake Shortcuts.🔹 Sneak Peek: We preview Amazon SageMaker Unified Studio, a game-changer for unified ML workflows, and explore BULK INSERT in Fabric Data Warehouse, optimizing large-scale data ingestion.🔹 BI Must-Reads: Deepen your expertise with these top books:📘 Microsoft Power BI Cookbook – Master Power BI with advanced techniques for data integration, governance, and visualization.📘 Modern Time Series Forecasting with Python – Explore ML, deep learning, and probabilistic forecasting for time-series data.📘 Deep Reinforcement Learning Hands-On – Dive into Q-learning, DQNs, and RLHF with hands-on projects using PyTorch.📘 Polars Cookbook – Unlock high-performance data manipulation with 60+ real-world projects in Python Polars.📘 Python Feature Engineering Cookbook – Build production-ready pipelines for tabular, transactional, and time-series data.📘 Data Management Strategy at Microsoft – Learn how Microsoft transformed its data strategy for governance, security, and business impact.🔹 Hot Topics: Parallelizing NumPy, scaling Sklearn with Dask, and uncovering hidden Python libraries to supercharge your data workflows.Stay ahead of the curve with the latest innovations, expert insights, and hands-on tutorials. Let’s dive in!Cheers,Merlyn ShelleyGrowth Lead, Packt📚 Packt Signature Series: New Releases You Can't Miss❯❯❯❯ Microsoft Power BI Cookbook: Written by Greg Deckler and Brett Powell, Microsoft Power BI Cookbook (3rd Edition) is a detailed guide for data professionals, covering data integration, Hybrid tables, scorecards, real-time processing, governance, security, and advanced visualization. With step-by-step techniques, it helps you transform raw data into actionable insights using Power BI’s latest innovations.Buy eBook $43.99 $29.99❯❯❯❯Modern Time Series Forecasting with Python: Written by Manu Joseph and Jeffrey Tackes, Modern Time Series Forecasting with Python (2nd Edition) is a detailed guide for data professionals, covering machine learning, deep learning, transformers, probabilistic forecasting, feature engineering, and ensemble methods. With hands-on techniques, it helps you build, evaluate, and deploy advanced forecasting models using Python, PyTorch, and pandas.Buy eBook $46.99 $31.99❯❯❯❯ Deep Reinforcement Learning Hands-On: Written by Maxim Lapan, Deep Reinforcement Learning Hands-On (3rd Edition) is a detailed guide to mastering RL, covering Q-learning, DQNs, PPO, RLHF, MuZero, and transformers. With hands-on projects, it helps machine learning professionals build, train, and apply RL models using PyTorch for real-world tasks in gaming, finance, and beyond.Buy eBook $46.99 $31.99❯❯❯❯ Polars Cookbook: Written by Yuki Kakegawa, Polars Cookbook is a hands-on guide featuring 60+ real-world projects to master data manipulation, transformation, and analysis with Python Polars. Covering advanced querying, performance optimization, and integrations with pandas, PyArrow, and cloud platforms, this book helps data professionals build fast, scalable, and efficient workflows.Buy eBook $46.99 $31.99❯❯❯❯ Python Feature Engineering Cookbook: Written by Galli, Python Feature Engineering Cookbook (3rd Edition) is a practical guide featuring real-world techniques to craft powerful features for tabular, transactional, and time-series data. Covering imputation, encoding, transformation, feature extraction, and automation, this book helps data professionals build efficient, reproducible, and production-ready feature engineering pipelines.Buy eBook $35.99 $24.99❯❯❯❯ Data Management Strategy at Microsoft: Written by Aleksejs Plotnikovs, Data Management Strategy at Microsoft is a practical guide to building a data-driven culture and maximizing data’s business value. Covering data strategy, governance, change management, and intellectual property, it provides key insights from Microsoft’s decade-long transformation to help leaders drive impactful data initiatives.Buy eBook $31.99 $21.99📊 Data Viz Trends Shaping the Future of Insights❯❯❯❯ Parallelize NumPy Array Operations for Increased Speed: This blog explores techniques to parallelize NumPy array operations for faster processing, crucial for handling large datasets. It covers OpenMP, NumExpr, Joblib, and Dask, comparing their performance and efficiency. With practical examples, it helps Python users optimize computations and improve data processing speed in machine learning and analytics workflows.❯❯❯❯ How to Scale Sklearn with Dask: This blog explores how Dask scales Scikit-learn (sklearn) workflows using parallel and distributed computing. It covers data preprocessing, train-test splitting, and model training with Dask’s StandardScaler, train_test_split, and LogisticRegression, demonstrating how to handle large datasets efficiently while maintaining sklearn’s familiar workflow for machine learning practitioners.❯❯❯❯ 10 Little-Known Python Libraries That Will Make You Feel Like a Data Wizard: This blog introduces 10 lesser-known Python libraries that can enhance data science workflows. Covering tools for data visualization, feature engineering, text processing, ML automation, and scalable computing, it provides practical examples of how these libraries can streamline analysis, improve efficiency, and unlock new possibilities for data professionals.❯❯❯❯ Using AI to focus on the big picture: This blog explores how Fanatics Betting and Gaming leverages AI to enhance financial operations, featuring insights from CFO Andrea Ellis. It covers AI-driven automation, strategic finance, and decision-making improvements, highlighting how tools like ChatGPT streamline workflows, generate insights faster, and free up time for high-impact strategic work.❯❯❯❯ Rogo scales AI-driven financial research with OpenAI o1: This blog explores how Rogo leverages OpenAI’s models to transform financial research and analysis for investment banks and private equity firms. By fine-tuning GPT-4o and o1 models, Rogo delivers real-time insights, automated diligence, and collaborative workflows, saving analysts time and enabling data-driven decision-making at scale.📈 Dive into Databases: SQL Essentials❯❯❯❯ Understanding Bit Manipulation Functions: BIT_COUNT, GET_BIT, and SET_BIT in SQL Server 2022. This blog explores SQL Server 2022’s bit manipulation functions—BIT_COUNT, GET_BIT, and SET_BIT—for efficient binary data handling. It covers counting set bits, retrieving specific bit values, and modifying flags, with practical examples and common pitfalls, helping developers optimize storage, manage flags, and improve performance in complex systems.❯❯❯❯ How to Develop Solutions with Fabric Data Warehouse: Data Engineering with Fabric. This blog explores developing solutions with Microsoft Fabric Data Warehouse, covering schema creation, data ingestion, and aggregation using T-SQL notebooks and deployment pipelines. It highlights best practices for data engineering, version control, and CI/CD automation, helping teams streamline database development and management in a Fabric environment.❯❯❯❯ Using Group Managed Service Accounts with SQL Server: This blog explores how to use Group Managed Service Accounts (gMSA) with SQL Server, covering setup, prerequisites, and implementation for Failover Cluster Instances and Always On Availability Groups. It provides PowerShell commands and best practices for secure authentication, automated password management, and enhanced service account control in enterprise environments.❯❯❯❯ Implementing Vector Datatype with Azure SQL Server: This blog explores implementing a vector database in Azure SQL Server using the new VECTOR data type (preview). It demonstrates storing and querying embeddings with SentenceTransformer, enabling efficient semantic search for unstructured text. Ideal for applications like document retrieval and knowledge management, this guide provides a step-by-step implementation with Python and SQL.❯❯❯❯ Redis as a Primary Database for Complex Applications: This blog explores using Redis as a primary database for complex applications that require multiple data formats, high performance, and scalability. It covers Redis modules for structured, graph, and search data, persistence methods, cost optimization with Redis on Flash, and scaling through replication and sharding, making it a powerful alternative to traditional databases.🔄 Real-World Transformation: How Gen BI Made Data Work❯❯❯❯ Hydrolix's Apache Spark Connector Unlocks the Power of Databricks for Full-Fidelity Event Data: This blog explores Hydrolix’s new Apache Spark Connector, which enhances Databricks' capabilities for full-fidelity event data. It enables low-latency queries, cost-effective long-term storage, and real-time insights for machine learning, fraud detection, capacity planning, and anomaly detection, unlocking powerful analytics and BI workflows in Databricks.❯❯❯❯ Build a Data Analytics Platform With Flask, SQL, and Redis: This blog explores building a data analytics platform using Flask, SQL Server, and Redis, focusing on dynamic querying, caching, and scalable architecture. It demonstrates population data analysis, query optimization with Redis caching, and secure database connections, significantly improving performance and response times in Flask-based web applications.❯❯❯❯ How to Backup SQL Server RDS to an S3 Bucket: This blog explores backing up SQL Server RDS to Amazon S3, using the msdb.dbo.rds_backup_database command. It covers full and differential backups, compression settings, encryption with AWS KMS, and task monitoring, providing a step-by-step guide to securely store and restore SQL Server RDS backups for disaster recovery and data availability.❯❯❯❯ BULK INSERT in Fabric Data Warehouse (Preview): This blog explores the BULK INSERT statement in Fabric Data Warehouse (Preview), enabling fast and efficient CSV file imports from Azure Data Lake and Blob Storage. It covers performance benchmarks, SQL Server compatibility, and differences from COPY INTO, making it an ideal choice for migrating existing workloads and handling large-scale data ingestion.❯❯❯❯ Fabric OPENROWSET function (Preview): This blog explores the OPENROWSET function in Fabric Data Warehouse (Preview), enabling direct querying of external files in Azure Data Lake and Blob Storage without ingestion. It covers schema discovery, partitioned dataset querying, query-time transformations, and ingestion scenarios, making it a powerful tool for real-time data exploration and flexible data processing.⚡ Quick Wins: BI Hacks for Instant Impact❯❯❯❯ Optimizing Database Performance in Middleware Applications: This blog explores strategies to optimize database performance in middleware applications, covering parallelism, caching, write batching, request hedging, and connection pooling. These techniques help reduce latency, improve scalability, and enhance system efficiency, ensuring that middleware can handle high traffic, real-time processing, and complex data aggregation effectively.❯❯❯❯ Unlocking Local AI: Build RAG Apps Without Cloud or API Keys. This tutorial covers how to build a local retrieval-augmented generation (RAG) application using Chipper, an open-source framework that eliminates cloud dependencies and API keys. It walks through setting up a self-contained RAG system with document ingestion, vector embedding storage, retrieval mechanisms, and local LLM integration via Ollama. The guide includes step-by-step instructions on installation, indexing documents, querying data, and running Chipper as an AI assistant, providing a private and efficient AI-powered workflow.❯❯❯❯ Git Tags vs AWS Tags: A Tag-Tastic Showdown! This article humorously compares Git Tags and AWS Tags, highlighting their differences in purpose, usage, and consequences when ignored. Git Tags serve as historical markers for software versions, making debugging and releases easier, while AWS Tags help organize cloud resources, track costs, and prevent accidental deletions. The showdown covers real-world reactions, best practices, advanced tagging techniques, and the existential crisis of tagging. Whether managing code history or cloud expenses, proper tagging can prevent future confusion and chaos.❯❯❯❯ Loading XML into MongoDB: This guide shows how to load XML into MongoDB using SmartXML ETL, avoiding complex parsing scripts. It covers defining extraction rules, optimizing stored data, and setting up a Flask API for insertion. SmartXML automates ETL, transforming XML into structured JSON for efficient MongoDB storage.❯❯❯❯ Advanced Calendar Heat Maps in Tableau (No More Workarounds!) This tutorial teaches you how to create advanced calendar heat maps in Tableau using map layers for a dynamic, clean, and customizable design. It covers common pitfalls, step-by-step instructions, and interactive dashboards, helping you build better visualizations without traditional limitations or workarounds.🎤 Voices of BI: Lessons from Industry Experts❯❯❯❯ Foundational blocks of Amazon SageMaker Unified Studio: An admin’s guide to implement unified access to all your data, analytics, and AI: This guide explains how to implement Amazon SageMaker Unified Studio for unified access to data, analytics, and AI. It covers the foundational building blocks, admin roles, infrastructure deployment, access control, and project management, helping administrators set up and manage a governed machine-learning environment effectively.❯❯❯❯ How Wisso embedded analytics in modern applications and cut BI costs by 80% with Amazon QuickSight: This post explores how Wisso integrated Amazon QuickSight into a kitchen management application, cutting BI costs by 80% while enhancing scalability and user experience. It details the migration process, architecture, dashboard functionality, and business impact, improving food safety, waste tracking, and operational efficiency.❯❯❯❯ How can I decide which protection method to use to protect my sensitive data in Fabric? This guide compares Microsoft Purview Protection Policies and Data Loss Prevention (DLP) policies for securing sensitive data in Fabric. It explains when to use each, how they restrict access, and how they can be combined to enforce security while ensuring compliance across your organization.❯❯❯❯ Private ADLS Gen2 access made easy with OneLake Shortcuts: a step-by-step guide. This guide explains how to securely connect Azure Data Lake Storage (ADLS) Gen2 to Microsoft Fabric using OneLake Shortcuts and Trusted Workspace Access. It provides a step-by-step walkthrough to configure private access, reduce data duplication, and enhance Power BI performance with Direct Lake mode.❯❯❯❯ Govern your data in SQL database in Microsoft Fabric with protection policies in Microsoft Purview: This guide explains how Microsoft Purview’s protection policies enhance data security in Microsoft Fabric SQL databases. It details how these policies override user permissions based on sensitivity labels, restricting access and write capabilities while ensuring compliance with organizational governance and security requirements.We’ve got more great things coming your way, see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Hadoop Ecosystem, DBeaver Tips and Tricks to Improve Your SQL WorkflowM365 Protection: Guided Lab Experience. See how Rubrik's M365 backup functionality saves timeSave Your SpotSponsoredSubscribe | Submit a tip | Advertise with us📬 BIPro 95 ~Your BI & Data Weekly, SharpenedIn this edition, we spotlight practical breakthroughs and smart fixes shaping how teams build, maintain, and scale data systems. From cutting-edge tools like BigQuery Git integration and Tableau’s proactive metadata monitoring, to hands-on scripts for dynamic SQL and real-world AI applications, it’s your guide to what’s working now in BI.Top Highlights:🔗 BigQuery Meets Git: BigQuery repositories in Studio bring version control directly into your analytics workflow, great for collaboration and reducing errors in pipeline development.🔗 Tableau Metadata API for Data Health: No more blind dashboard breakage, this guide shows how to detect and fix issues before users notice.🔗 Data Sources That Matter: Tour of trusted datasets like Data.gov and Kaggle, helping analysts and data scientists build stronger, evidence-backed insights.🔗 Dynamic SQL in Python: Generate flexible, safe T-SQL scripts using Python, ideal for variable-driven queries while staying secure.🔗 SageMaker Unified Studio: Query without moving your data across S3, Redshift, and DynamoDB, no more silos, no extra pipelines.Whether you’re streamlining dashboards, automating SQL workflows, or exploring AI-powered BI, this issue has something for every data professional.Cheers,Merlyn ShelleyGrowth Lead, Packt📚 Limited-Time Offer: 30% Off Bestselling eBooks!Buy NowBuy NowBuy NowBuy Now📊 Data Viz Trends Shaping the Future of Insights🔹 BigQuery repositories integrates with Git: Data teams often struggle to apply software engineering practices due to limited Git integration in analytics tools. This blog announces BigQuery repositories in BigQuery Studio, enabling teams to collaborate and manage analytics code with familiar Git workflows. It helps streamline development, reduce manual errors, and bring consistency to how data pipelines are built and maintained across varying skill levels.🔹 No More Tableau Downtime: Metadata API for Proactive DataHealth. Dashboards often fail due to upstream data changes, causing delays, confusion, and loss of trust. This blog shows how to use Tableau’s Metadata API with Python to identify affected data sources early, enabling fast, proactive fixes before users even notice.🔹 Where Do We Get Our Data? A Tour of Data Sources (with Examples). Understanding where your data comes from is crucial to producing meaningful results. This blog explores trusted public, government, and research-backed data sources, like Data.gov and Kaggle, that offer accessible, well-documented datasets to support quality analysis, model training, and informed decision-making.🔹 How to Remove Constraints from a SQL Server Table: This article explains how to identify and remove various SQL Server constraints, primary keys, foreign keys, check, default, and unique constraints, using SQL scripts, making it easier to automate constraint management in deployment pipelines.📚 Limited-Time Offer: 30% Off Bestselling eBooks!Buy NowBuy NowBuy NowBuy Now📈 Dive into Databases: SQL Essentials🔹 Optimize your Amazon QuickSight implementation: a guide to usage analytics and cost management. This article guides organizations in analyzing Amazon QuickSight usage and costs using AWS Glue, Athena, and pre-built dashboards. It shows how to automate data collection, visualize user activity, and identify optimization opportunities to manage BI deployments more effectively.🔹 Mastering Hadoop Ecosystem: Get the most out of your cluster. This article addresses how to solve common big data challenges by using Hadoop ecosystem tools, Hive for simplified SQL querying, Pig for ETL on semi-structured data, HBase for scalable NoSQL storage, and Spark for fast, in-memory data processing.🔹 Advanced Error Handling in Python: Beyond Try-Except. This blog explores advanced Python error handling techniques beyond basic try-except blocks. It covers context managers, custom exception hierarchies, exception chaining, decorators for reusable logic, and guaranteed cleanup, offering practical tools to build more reliable, maintainable, and production-ready applications.🔹 SQL Bulk Inserts with TABLOCK Performance Considerations: This blog examines how using the TABLOCK hint in SQL Server bulk inserts can significantly boost performance through minimal logging, reducing I/O and execution time. It also highlights trade-offs, such as reduced concurrency, making it essential to weigh performance gains against potential locking conflicts in multi-session environments.🔄 Real-World Transformation: How Gen BI Made Data Work🔹 Connect, share, and query where your data sits using Amazon SageMaker Unified Studio. This blog shows how Amazon SageMaker Unified Studio helps teams securely query and share data across multiple sources, like S3, Redshift, and DynamoDB, without moving it. It solves data silos by enabling unified access, governance, and collaboration, streamlining analytics and AI workflows across business units in a single environment.🔹 Forget About Cloud Computing. On-Premises Is All the Rage Again: This blog explores why more companies, from startups to enterprises, are moving away from cloud computing and returning to on-premises infrastructure. It outlines cost concerns, control issues, and compliance challenges with the cloud, and offers guidance on when, why, and how to consider repatriating workloads to local servers.🔹 SQL Server JSON Functions JSON_OBJECTAGG and JSON_ARRAYAGG: This blog introduces SQL Server’s new JSON_OBJECTAGG and JSON_ARRAYAGG functions, designed to solve the limitations of FOR JSON PATH when data spans multiple rows. It explains how these aggregation functions help generate clean, structured JSON objects and arrays from relational data, with real-world examples and use cases.⚡ Quick Wins: BI Hacks for Instant Impact🔹 7 Powerful DBeaver Tips and Tricks to Improve Your SQL Workflow: This blog shares seven practical tips to boost productivity in DBeaver, an open-source SQL IDE. It covers features like the command palette, external formatters, auto-expanding columns, quick data stats, ad-hoc grouping, SQL templates, and advanced copy options, helping users streamline SQL workflows without relying on extra tools or complex setups.🔹 Fabric Analytics for SQL folks: This blog demystifies Microsoft Fabric for SQL professionals by comparing it to SQL Server and tracing the evolution from traditional data warehouses to modern Lakehouse architectures. It explains how structured data, SQL, and foundational data practices still matter in today’s AI-driven landscape and how Fabric unifies analytics across storage, compute, and governance.🔹 Grounding Gemini With Google Search and Other Data Sources: This blog shows how to use Google Gemini’s 1M token limit to provide rich context from multiple data sources, like Looker, Ticketmaster, and NOAA, without building a full RAG pipeline. It also demonstrates how to combine internal data with real-time results using Gemini’s built-in Google Search grounding feature.🎤 Voices of BI: Lessons from Industry Experts🔹 How Real Companies are Using AI to Boost Efficiency: This article showcases real-world examples of how companies across industries are using AI not as a buzzword, but as a practical tool to cut costs, reduce inefficiencies, and boost productivity. From finance and recruiting to agriculture and supply chain, the focus is on how AI is actually working behind the scenes to make smarter operations possible.🔹 Build Multimodal RAG Apps With Amazon Bedrock and OpenSearch: Tackling real-world data like screenshots, diagrams, and PDFs, this blog shows how to build a multimodal RAG application using Amazon Bedrock and OpenSearch. It walks through embedding text and images, setting up vector search, and deploying a scalable system to improve information retrieval across diverse content types.🔹 Dynamic T-SQL Script Parameterization Using Python: This blog shows how to use Python to safely generate and execute dynamic T-SQL scripts for SQL Server. It walks through building parameterized queries that adapt to changing input, like table names or filter criteria, while avoiding common pitfalls like SQL injection, making it ideal for complex, flexible querying scenarios.*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Fabric SQL Database with Pre- or Post-Deployment ScriptsData Governance HandbookBy Wendy S. Batchelder With 2.5 quintillion bytes of data generated daily, effective data governance is more crucial than ever. The Data Governance Handbook equips data professionals with practical strategies to ensure trustworthy, business-aligned data solutions.Written by a three-time Fortune 500 Chief Data Officer, this guide helps CDOs, data leaders, engineers, and IT professionals:✅ Build a strong governance foundation and drive real impact.✅ Secure executive buy-in with measurable business results.✅ Scale governance programs effectively using real-world insights.✅ Enable data-driven transformation with actionable use cases.No coding or sales expertise needed, just a clear, results-driven approach to mastering data governance. Ready to transform your data strategy? This book is for you.Buy eBook $39.99 $35.98🗞️ Welcome to BIPro#93– Your Weekly Business Intelligence Boost! 🚀The world of data never stands still. New tools, techniques, and challenges constantly reshape how we work, pushing us to stay ahead. In this edition, we’re focusing on practical insights that can make a real impact, whether you're fine-tuning performance, automating workflows, or harnessing real-time analytics.From Streaming SQL on Kafka for processing live data to Snowflake optimizations on AWS that improve efficiency and cost management, we’re tackling the challenges that matter. We also explore SQL best practices, Python automation for data cleaning, and AI-driven enhancements in BI, all designed to make your workflows smoother and smarter.It’s not just about keeping up with trends, it’s about making data work better for you.Inside this issue:📊 Real-time data analytics with Streaming SQL on Kafka ~because batch processing shouldn’t slow you down.⚡ Optimizing Snowflake on AWS ~ faster queries, leaner warehouses, and smarter cost management.💡 Automating data cleaning with Python ~ eliminate repetitive tasks and boost efficiency.🔍 BI hacks & SQL insights ~from fine-tuning SQL Server indexes to deploying DACPACs in Azure, get practical, time-saving tips.Whether you’re building real-time pipelines, optimizing performance, or exploring the latest AI-powered BI tools, there’s something here for you.So, grab a coffee, dive in, and let’s make data work smarter. ☕📈Cheers,Merlyn ShelleyGrowth Lead, PacktProtect Data Privacy and Optimize AI Models with Tonic TextualLLMs have tapped all of pubically available data. The last mile training of models requires private data. Use private data without compromising security. Redact, label, and prep freetext for LLM ingestion or data pipelines.Start Free TrialSponsoredHands-On Machine Learning with C++By Kirill KolodiazhnyiHarness the power of machine learning and deep learning using C++ with this hands-on guide. Written by an experienced software engineer, this book walks you through data processing, model selection, and performance optimization, equipping you with the skills to build and deploy efficient ML models on mobile and embedded devices.Whether you're a developer, data scientist, or analyst, you’ll learn how to:✅ Leverage C++ libraries for machine learning and deep learning tasks.✅ Build smart models for recommendations, anomaly detection, and sentiment analysis.✅ Optimize ML models using hyperparameter tuning and experiment tracking.✅ Deploy models to mobile and embedded platforms for real-time applications.With practical examples, real-world use cases, and step-by-step guidance, this book ensures you can apply ML techniques effectively in C++. Master ML with C++ and take your models to production!Buy eBook $39.99 $35.98📊 Data Viz Trends Shaping the Future of InsightsCreating Automated Data Cleaning Pipelines Using Python and PandasTired of repeating the same data cleaning steps? This blog shows you how to automate the process using Python and Pandas. From standardizing imports to building cleaning pipelines and tracking data quality, you'll save time, reduce errors, and work more efficiently.10 Python One-Liners for Scikit-learnThis blog is all about writing cleaner, more efficient machine learning code using Scikit-learn. It introduces 10 powerful Python one-liners that simplify essential tasks like data loading, preprocessing, model training, evaluation, and pipeline creation. Whether you're experimenting, prototyping, or streamlining your workflow, these concise snippets will help you cut down unnecessary code while keeping things clear and effective.INFO.VIEW DAX Functions Usage and ExamplesThis blog explores the INFO.VIEW DAX functions in Power BI, introduced in the October 2024 update, which allow users to auto-document their semantic models. It explains how INFO.VIEW.COLUMNS(), INFO.VIEW.TABLES(), INFO.VIEW.RELATIONSHIPS(), and INFO.VIEW.MEASURES() work, providing syntax, usage examples, and real-world applications. Unlike traditional INFO. DAX functions, these can be used in calculated tables, making models more transparent and easier to maintain.Learn Microsoft FabricBy Arshad Ali, SchachtMicrosoft Fabric is the ultimate unified analytics solution for the AI era, seamlessly integrating data engineering, real-time analytics, AI, and visualization in one platform.This book equips data professionals, analysts, engineers, and AI/ML experts with the knowledge to:✅ Build scalable data solutions for lakehouses, warehouses, and real-time analytics.✅ Integrate and transform data using Spark, Notebooks, and T-SQL.✅ Monitor, manage, and secure Fabric environments with best practices.✅ Leverage AI-powered analytics with Copilot for enhanced productivity.No matter your data role, this book provides a practical, hands-on guide to mastering Microsoft Fabric. Future-proof your data analytics journey today!Buy eBook $35.99 $31.99📈 Dive into Databases: SQL EssentialsIndex Rebuilds Make Even Less Sense with ADR & RCSIThis blog explores why index rebuilds are often unnecessary in SQL Server when Accelerated Database Recovery (ADR) and Read Committed Snapshot Isolation (RCSI) are enabled. It demonstrates how these features increase table size due to row versioning but also explains why rebuilding indexes doesn’t provide lasting space savings. Instead of outdated index maintenance practices, the article encourages a shift in mindset, understanding why table sizes grow and focusing on the real problem before applying traditional solutions.SQL Server Backup or Restore using Network Share with SSMSThis blog walks through how to backup or restore a SQL Server database using a network share in SQL Server Management Studio (SSMS) when local storage is limited. It explains how to map a network drive, enable xp_cmdshell to make it visible to SQL Server, and perform a database restore or backup directly from the network location. The guide also includes steps to verify the mapped drive and remove it once the process is complete.Deploy DACPAC to Azure SQL Database using Visual StudioThis blog explains how to deploy a DACPAC file to an Azure SQL Database using Visual Studio. It covers creating a DACPAC, configuring deployment settings, selecting the correct target platform, and verifying the deployment. Additionally, it provides troubleshooting tips and best practices.Microsoft Power BI CookbookBy Greg Deckler, PowellThe Power BI Cookbook is the go-to resource for BI professionals and data analysts looking to master data integration, visualization, and advanced reporting in Power BI. This updated edition brings the latest Microsoft Data Fabric capabilities, Hybrid tables, and AI-driven enhancements, helping you build powerful, future-ready BI solutions.Whether you're a BI developer, analyst, or data professional, this book will help you:✅ Leverage Microsoft Data Fabric for deeper insights and robust data strategies.✅ Create Hybrid tables, scorecards, and shared cloud connections with ease.✅ Turn complex data into clear, actionable reports using updated visualization tools.✅ Enhance security, governance, and real-time processing for enterprise-ready BI.Packed with step-by-step guidance and real-world use cases, this book ensures you stay ahead in the evolving Power BI landscape. Take your Power BI expertise to the next level!Buy eBook $43.99 $38.99🔄 Real-World Transformation: How Gen BI Made Data WorkAnnouncing AI functions for seamless data engineering with GenAIThis blog introduces AI functions in Microsoft Fabric, now in preview. It explains how to use LLM-powered transformations like summarization, classification, sentiment analysis, translation, and text generation on OneLake data with just a single line of code. It covers setup, usage, customization, and prerequisites.Nubank elevates customer experiences with OpenAIThis blog highlights how Nubank leverages OpenAI’s AI solutions to enhance customer service, fraud prevention, and internal efficiency. It covers enterprise search, call center AI copilots, AI-powered assistants, and GPT-4o vision for fraud detection, improving response times and customer satisfaction.Datastream extracts Salesforce Data cloud dataThis blog introduces Datastream’s new support for Salesforce Data Cloud, enabling real-time data replication to BigQuery and other Google Cloud destinations. It explains how businesses can unify SaaS and operational data for advanced analytics, improve decision-making, and simplify integration without infrastructure management.Build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity CenterThis blog explains how to build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity Center. It covers single sign-on (SSO), role-based access control (RBAC), row-level security (RLS), and trusted identity propagation to ensure secure, role-based data access in Streamlit applications.Artificial Intelligence for CybersecurityBy Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis ZarrasArtificial Intelligence is transforming cybersecurity, enabling faster threat detection, smarter authentication, and more resilient defenses. This book bridges the gap between AI and cybersecurity, providing practical guidance, step-by-step exercises, and real-world applications to help professionals design, implement, and evaluate AI-driven security solutions.Whether you're a machine learning practitioner or a cybersecurity professional, you’ll gain the skills to:✅ Understand AI methods and their role in cybersecurity.✅ Design AI-powered security solutions to detect and prevent cyber threats.✅ Apply AI techniques using hands-on exercises and code examples.✅ Avoid common pitfalls and optimize AI implementation for real-world scenarios.Packed with practical insights and expert guidance, this book ensures you can confidently integrate AI into your cybersecurity strategy. Stay ahead of cyber threats with AI-powered defense strategies!Buy eBook $35.99 $31.99⚡ Quick Wins: BI Hacks for Instant ImpactHarnessing Real-Time Insights With Streaming SQL on KafkaThis blog explores Streaming SQL on Kafka, enabling real-time data processing with SQL-based queries on Kafka topics. It covers key components, streaming SQL tools like ksqlDB, Flink, and Spark Structured Streaming, practical use cases, benefits, and challenges, helping businesses simplify real-time analytics and decision-making.Database Query Service With OpenAI and PostgreSQL in .NETThis blog explains how to build a database query service in .NET using OpenAI’s GPT-4 and PostgreSQL. It covers natural language to SQL conversion, schema retrieval, secure query execution, and SQL validation to ensure safe, efficient, and user-friendly database interactions without manual query writing.Publish a Fabric SQL Database with Pre- or Post-Deployment ScriptsThis blog explains how to publish a Fabric SQL Database using Azure Data Studio (ADS), including pre- and post-deployment scripts. It covers creating a database project, connecting to Microsoft Fabric, adding objects like tables, and configuring deployment settings to streamline database management and automation.Your Salesforce Data, Your Responsibility: Best Practices for Data ProtectionSponsored🎤 Voices of BI: Lessons from Industry ExpertsExploring Scalar Solutions to Complex Data MathThis blog explores efficient date calculations in SQL Server, focusing on counting specific weekdays within a date range. It evaluates iterative vs. optimized approaches, ultimately presenting a bitwise math solution that eliminates loops, significantly improving performance. The approach ensures scalability for large datasets and complex date-matching scenarios.Improve Query Performance when SQL Server Ignores Nonclustered IndexThis blog explains how to improve SQL Server query performance when the optimizer ignores a nonclustered index. It explores key lookups, covering indexes, and query optimization techniques to reduce logical reads and execution time, ultimately ensuring efficient index usage and resource optimization for better database performance.Performance Optimization Techniques for Snowflake on AWSThis blog explores performance optimization techniques for Snowflake on AWS, covering storage, compute, and query efficiency. It provides best practices, SQL examples, and strategies for warehouse tuning, query optimization, clustering, caching, ETL efficiency, and cost control, ensuring high performance and cost-effective data operations.We’ve got more great things coming your way, see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Struggling with messy data? Microsoft Fabric might helpBecome an AI Generalist that makes $100K (in 16 hours)Still don’t use AI to automate your work & make big $$? You’re way behind in the AI race. But worry not:Join the World’s First 16-Hour LIVE AI Upskilling Sprint for professionals, founders, consultants & business owners like you. Date: 2nd-3rd-4th of May, 11 AM - 7 PM.In just 16 hours & 5 sessions, you will:✅ Learn the basics of LLMs and how they work.✅ Master prompt engineering for precise AI outputs.✅ Build custom GPT bots and AI agents that save you 20+ hours weekly.✅ Create high-quality images and videos for content, marketing, and branding.✅ Automate tasks and turn your AI skills into a profitable career or business.All by global experts from companies like Amazon, Microsoft, SamurAI and more. And it’s ALL. FOR. FREE. 🤯 🚀Join now and get $3000+ in additional bonuses: AI community access ($1999), AI Tool Stack ($299), and Workflow Templates ($999) - all unlocked when you sign up and attend! 🎁Register Now (Only 500 free seats)SponsoredSubscribe | Submit a tip | Advertise with usWelcome to BIPro 98, your curated guide to the latest trends transforming the world of business intelligence and data analytics.This edition dives deep into three game-changing concepts:🔹 How Fabric Data Agents are revolutionizing AI-powered data access🔹 What to know when migrating from Power BI Premium Capacity to Fabric Capacity, especially cross-region🔹 How machine learning is supercharging predictive analytics in Tableau, moving dashboards from descriptive to truly forward-lookingBut that's just the beginning. In this issue, you’ll also find insights on building Excel dashboards for 2025, mastering essential Excel formulas, and leveraging the LAMBDA function to create reusable spreadsheet logic. If you're looking to modernize your admin dashboards, explore the best free HTML5 templates and discover how modular components can make your design more scalable.On the databases and visualization front, we unpack the complexities of Power BI migrations, highlight common reporting mistakes (and how to avoid them), and offer a detailed look at Tableau’s architecture for high-performance analytics. Real-world applications show how finance teams use scenario modeling to handle trade volatility, and how organizations can scale predictive models directly within Tableau dashboards.We also spotlight quick wins: fast-tracking your Tableau learning, streamlining your AI model lifecycle with Microsoft Fabric, and using practical data cleaning techniques that every analyst should master.This is your blueprint for staying ahead, whether you’re refining your dashboards, building predictive models, or preparing for the future of data-driven decision-making.We’re also excited to spotlight our sponsors this week: Whiteswan Identity Security, delivering zero-trust PAM protection for human and non-human identities across on-prem and cloud environments through a single console.Meanwhile, HubSpot’s AI-powered ecosystem is expanding rapidly, with a projected global opportunity of $10.2 billion by 2028. To fuel that growth, HubSpot is opening its platform further, introducing an expanded set of APIs, customizable app UIs, and tools that support a more unified data strategy.Scroll through, explore the highlights, and click into the topics that will drive your next breakthrough.Merlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights🔰 Excel Dashboard: How To Create A Dashboard In Excel 2025. This blog is a step-by-step guide to building Excel dashboards in 2025, helping professionals turn raw data into clear, interactive visuals. It covers goal setting, data organization, layout planning, visualization tools, formulas, interactivity, and downloadable templates to support data-driven decisions and real-time performance tracking.🔰 50 Basic MS Excel Formulas List that Everyone Should Know. This blog introduces essential Microsoft Excel formulas that simplify data handling and analysis. Whether you're managing long spreadsheets or looking to boost productivity, it highlights top formulas across categories like math, text, and logic. With real-world examples and use cases, it’s a practical guide for turning raw data into smart insights.🔰 How to Use the LAMBDA Function in Excel (Microsoft 365): The Complete Step-by-Step Guide. Excel’s LAMBDA function helps users create custom, reusable formulas directly in spreadsheets without writing VBA. This guide covers its syntax, how to define and apply it, and real-life examples like grading, conversions, and calculations, making complex logic easier to manage and reuse in Microsoft 365.🔰 42 Best Free HTML5 Admin Dashboard Templates 2025: Explore a curated selection of free HTML5 admin dashboard templates for 2025 designed to help developers and businesses build professional, responsive admin panels. These templates support various use cases, from sales and finance to healthcare and marketing, offering flexibility, modern UI elements, and easy integration into web projects.📈 Dive into Databases: SQL Essentials🔰 Migrating from Power BI Premium Capacity to Fabric Capacity (Cross Region) – What you should know. Migrating from Power BI Premium to Fabric Capacity involves several considerations, especially when moving across regions. This guide outlines both manual and automated methods for transferring workspaces, addresses limitations with Fabric Items and Large Storage Format models, and offers practical steps to prepare, back up, and restore content during the transition.🔰 Common Power BI Mistakes and How to Easily Avoid Them: Power BI users often run into avoidable issues that affect data accuracy and dashboard performance. This article highlights common mistakes like overloading visuals, ignoring data modeling best practices, or using inconsistent measures, and provides clear guidance on how to prevent them, helping teams build more reliable and insightful Power BI reports.🔰 Output a file and re-input it within the same workflow: Reusing an output Excel file within the same Alteryx workflow can streamline processes like logging or iterative updates. This article explains how to configure tools like “Block Until Done” and “Dynamic Input” to write and immediately re-read a file using a consistent file path, avoiding manual reloads or separate workflows.🔰 Tableau Architecture: A Detailed Guide: Tableau’s architecture supports end-to-end data analysis by connecting, processing, and visualizing data across desktop and server environments. This guide breaks down its core components, like VizQL Server, Data Engine, and Gateway, explaining how they work together to power secure, scalable, and high-performance analytics in both on-premise and cloud-based deployments.🔄 Real-World Transformation: How Gen BI Made Data Work🔰 How Data Analytics Reduces Finance Risk Amid Trade Volatility: Trade volatility is now a constant challenge, forcing finance teams to move beyond traditional forecasting. This article explains how scenario modeling, supported by tools like Alteryx, helps assess the financial impact of sudden trade shifts, test “what if” scenarios, and support agile, data-driven decisions across finance, procurement, and leadership teams.🔰 Fabric Data Agents: Unlocking the Power of Agents as a Steppingstone for a Modern Data Platform. Fabric Data Agents simplify how financial institutions access and analyze data by combining AI-powered interaction with Microsoft Fabric’s unified data platform. This article outlines how these agents use natural language, connect to over 200 data sources via OneLake, ensure security and compliance, and enable teams to extract insights without building complex AI solutions.🔰 Can You Build Modular Components for Admin Dashboards? Building modular components is key to creating scalable, reusable admin dashboards. This article explains how to design self-contained UI elements like cards, tables, and charts, outlines best practices for structuring component libraries, and highlights tools and real-world examples that speed up development and maintain consistency across dashboard projects.⚡ Quick Wins: BI Hacks for Instant Impact🔰 ML for Predictive Analytics in Tableau: Predictive analytics combined with Tableau transforms static dashboards into dynamic forecasting tools. This article explains how businesses can embed machine learning models using Tableau’s built-in ARIMA forecasting, Python (TabPy), R integration, and cloud-based extensions, helping teams anticipate trends, optimize operations, and make faster, data-driven decisions with real-time insights.🔰 Learn Tableau Quickly: 5 Actionable Tips for Data Analysis. Mastering Tableau quickly requires a hands-on, structured approach. This guide outlines five techniques: building a strong foundation in core features, applying project-based learning, engaging with the Tableau community, designing impactful dashboards, and practicing consistently with structured challenges, all aimed at helping users turn data into clear, actionable insights faster.🔰 How Microsoft Fabric Is Transforming AI Model Development and Data-Driven Solutions: Microsoft Fabric is transforming AI model development and data-driven solutions by unifying data integration, engineering, machine learning, and visualization in a single platform. This article explains how Fabric streamlines data preparation, model training, governance, and real-time analytics, helping businesses move faster, improve collaboration, and scale AI initiatives efficiently across hybrid and multi-cloud environments.🔰 10 Essential Data Cleaning Techniques Explained in 12 Minutes: Data cleaning is a critical step for any successful data project. This article walks through 10 essential techniques, including handling missing values, removing duplicates, standardizing text, managing outliers, scaling features, and correcting formatting issues, with practical examples, showing how to transform messy data into clean, analysis-ready datasets quickly and efficiently.*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

LaunchDarkly's Approach to AI-Powered Product Management, API Management as Code👋 Hello ,🗞️ Welcome to BIPro#92 – Your Weekly Business Intelligence Boost! 🚀This week, we’re serving up an exciting lineup of must-reads, expert insights, and game-changing developments in data analytics, engineering, and BI. Whether you're looking to sharpen your Power BI skills, explore the latest in AI-powered analytics, or dive into high-performance data strategies, we’ve got you covered.📚 BI Must-Reads ~ Elevate your knowledge with top books on Power BI, time series forecasting, reinforcement learning, and more.📊 Data Viz & BI Trends ~ Stay ahead with February’s Power BI update, featuring performance boosts, AI integrations, and the first-ever DataViz World Championships.💡 Engineering Insights ~ Learn why Tally Tables outperform traditional SQL approaches, how to build a Lakehouse with Azure Databricks, and how to use the Azure Emulator for offline storage solutions.🔎 AI & Databases ~ Explore OpenAI’s Deep Research for literature reviews, query databases with natural language using OpenAI and PostgreSQL, and solve complex SQL puzzles.🚀 Real-World Innovations ~ See how DataRobot’s latest acquisition is shaping AI orchestration, discover Metabase’s new Embedded Analytics SDK, and explore materialized views in RisingWave.⚡ Quick Wins & Hacks ~ Master API management as code, optimize distributed system messaging, and streamline healthcare analytics in the cloud.🎤 Expert Voices ~Scale Elasticsearch efficiently, integrate Azure Cosmos DB into CI/CD pipelines, and fine-tune advanced DAX time intelligence in Power BI.From deep dives into the latest tools to hands-on guides for improving your workflows, this edition is packed with insights to keep you at the cutting edge. Enjoy the read and happy analyzing! 📈🔥Cheers,Merlyn ShelleyGrowth Lead, Packt📚 Packt Signature Series: New Releases You Can't Miss❯❯❯❯ Microsoft Power BI Cookbook: Written by Greg Deckler and Brett Powell, Microsoft Power BI Cookbook (3rd Edition) is a detailed guide for data professionals, covering data integration, Hybrid tables, scorecards, real-time processing, governance, security, and advanced visualization. With step-by-step techniques, it helps you transform raw data into actionable insights using Power BI’s latest innovations.Buy eBook $43.99 $29.99❯❯❯❯Modern Time Series Forecasting with Python: Written by Manu Joseph and Jeffrey Tackes, Modern Time Series Forecasting with Python (2nd Edition) is a detailed guide for data professionals, covering machine learning, deep learning, transformers, probabilistic forecasting, feature engineering, and ensemble methods. With hands-on techniques, it helps you build, evaluate, and deploy advanced forecasting models using Python, PyTorch, and pandas.Buy eBook $46.99 $31.99❯❯❯❯ Deep Reinforcement Learning Hands-On: Written by Maxim Lapan, Deep Reinforcement Learning Hands-On (3rd Edition) is a detailed guide to mastering RL, covering Q-learning, DQNs, PPO, RLHF, MuZero, and transformers. With hands-on projects, it helps machine learning professionals build, train, and apply RL models using PyTorch for real-world tasks in gaming, finance, and beyond.Buy eBook $46.99 $31.99❯❯❯❯ Polars Cookbook: Written by Yuki Kakegawa, Polars Cookbook is a hands-on guide featuring 60+ real-world projects to master data manipulation, transformation, and analysis with Python Polars. Covering advanced querying, performance optimization, and integrations with pandas, PyArrow, and cloud platforms, this book helps data professionals build fast, scalable, and efficient workflows.Buy eBook $46.99 $31.99❯❯❯❯ Python Feature Engineering Cookbook: Written by Galli, Python Feature Engineering Cookbook (3rd Edition) is a practical guide featuring real-world techniques to craft powerful features for tabular, transactional, and time-series data. Covering imputation, encoding, transformation, feature extraction, and automation, this book helps data professionals build efficient, reproducible, and production-ready feature engineering pipelines.Buy eBook $35.99 $24.99❯❯❯❯ Data Management Strategy at Microsoft: Written by Aleksejs Plotnikovs, Data Management Strategy at Microsoft is a practical guide to building a data-driven culture and maximizing data’s business value. Covering data strategy, governance, change management, and intellectual property, it provides key insights from Microsoft’s decade-long transformation to help leaders drive impactful data initiatives.Buy eBook $31.99 $21.99📊 Data Viz Trends Shaping the Future of Insights❯❯❯❯ Power BI February 2025 Feature Summary: The February 2025 Power BI update brings major improvements, including a 50% boost in modeling performance for live edits in Direct Lake mode, an interactive Explore feature for Copilot, and OneLake catalog integration in Microsoft Teams. Plus, the first-ever Power BI DataViz World Championships is live, leading up to the FabCon conference in Las Vegas. New AI, visualization, and connectivity updates enhance usability, including Copilot on iPads and Android tablets, Snowflake connector improvements, and Azure Maps visual support. Power BI enthusiasts can also access exclusive FabCon discounts. Stay ahead with these game-changing enhancements!❯❯❯❯ Why use Tally Tables in the Fabric Warehouse? This blog explores efficient SQL design patterns for generating a date table, comparing an iterative (RBAR) approach with a set-based tally table method. It tests performance on SQL Server 2022 and Microsoft Fabric Warehouse, demonstrating a 99.39% improvement with the tally table. The article also covers schema creation, database modernization, and execution timing analysis. A downloadable T-SQL script is included for practical implementation.❯❯❯❯ Engineering a Lakehouse with Azure Databricks with Spark Dataframes: This blog explores engineering a Lakehouse using Azure Databricks and Spark DataFrames. It covers data loading techniques, creating Spark clusters, storage management, and building efficient workflows. The article compares full and incremental load patterns, explains cluster properties, and demonstrates how to create and manage Delta tables. It also highlights Unity Catalog security features, workflow automation, and job scheduling for Databricks-based ETL processes. A downloadable ZIP file with all code examples is included.❯❯❯❯ How to use the Azure Emulator to create blob containers, queues and tables? This blog explains how to use the Azure Storage Emulator to create and manage blob containers, queues, and tables without connecting to Azure. It covers installation, setup, and testing using Microsoft Azure Storage Explorer. The guide walks through creating blob containers, uploading files, and using virtual directories. It also introduces Azurite as an alternative emulator for testing Azure Storage solutions offline.❯❯❯❯ Configuring Maintenance Plans in SQL Server: This blog provides a step-by-step guide to configuring a Maintenance Plan on a local SQL Server 2017 instance, applicable to SQL Server 2022. It explains enabling Agent XPs, using sp_configure, and creating a Maintenance Plan with subplans for rebuilding indexes and database backups. The article walks through managing connections, configuring SQL Server Agent jobs, and saving configurations, highlighting key challenges encountered in real-world setups.❯❯❯❯ Deep Research by OpenAI: A Practical Test of AI-Powered Literature Review. This blog explores OpenAI’s Deep Research, an AI-driven literature review tool integrated into the o3 model. It explains its workflow, tests its efficiency, and discusses challenges like bias, superficiality, and academic integrity, comparing it with Perplexity AI and Google Gemini.📈 Dive into Databases: SQL Essentials❯❯❯❯ Database Query Service With OpenAI and PostgreSQL in .NET: This blog explores building NorthwindServicefromDB, a .NET service that converts natural language queries into SQL using OpenAI’s GPT-4 model. It retrieves database schemas, generates secure SELECT queries, executes them on PostgreSQL, and returns structured results. Security, enhancements, and best practices are discussed.❯❯❯❯ Practical SQL Puzzles That Will Level Up Your Skill: This blog presents SQL query patterns for solving real-world data puzzles. It explores challenges like tracking task durations, identifying contract sequences, and analyzing concurrent events using advanced SQL techniques like window functions (LAG, SUM), CTEs, and event-based solutions. Each puzzle introduces an efficient approach to handling edge cases, optimizing queries, and improving SQL problem-solving skills. PostgreSQL and DuckDB-compatible code is provided, along with a GitHub repository containing all solutions.❯❯❯❯ Start building with Gemini 2.0 Flash and Flash-Lite: This blog introduces Gemini 2.0 Flash-Lite, Google's latest AI model optimized for efficiency, affordability, and long-context processing. It highlights real-world applications in voice AI, data analytics, and video editing, showcasing its impact on faster, cost-effective AI development.❯❯❯❯ LaunchDarkly's approach to AI-powered product management: This blog features Claire Vo, CPO and CTO of LaunchDarkly, discussing AI’s impact on product management and leadership. She explains how AI automates tasks, reshapes PM roles, and enhances productivity through her "anti-to-do list" approach. Vo also highlights LaunchDarkly’s AI-driven product development and urges executives to rethink AI’s influence on their own roles.🔄 Real-World Transformation: How Gen BI Made Data Work❯❯❯❯ Feather Wand: Your AI-Powered Companion for JMeter. This blog introduces Feather Wand, an AI-powered JMeter plugin that integrates Anthropic’s Claude API to assist performance test engineers. It helps with test plan creation, optimization, and troubleshooting by providing AI-driven suggestions, code snippets, and insights. Key features include @this commands for context-aware guidance, one-click test element additions, and automated Groovy script generation. While boosting efficiency, users must verify AI suggestions, back up test plans, and monitor resource usage. Setup is straightforward with configurable properties, requiring an Anthropic API key. Feather Wand enhances JMeter’s usability, making performance testing more intuitive and efficient.❯❯❯❯ DataRobot buys Aqnostiq to advance AI agent development with dynamic compute orchestration. DataRobot has acquired Agnostiq to enhance AI agent development through dynamic compute orchestration. By integrating Agnostiq’s Covalent platform, DataRobot enables heterogeneous compute orchestration, allowing AI agents to scale across cloud, on-premises, and hybrid environments. This acquisition optimizes resource allocation, cost, and performance, addressing the inefficiencies of fragmented AI infrastructure. DataRobot’s platform, known for its no-code AI builder and advanced tools for data scientists, now supports agentic AI more efficiently. CEO Debanjan Saha emphasized that this move streamlines AI deployment, making it more scalable and cost-effective for businesses.❯❯❯❯ Introducing Metabase's new Embedded Analytics SDK for React: This blog introduces the Embedded Analytics SDK for React, a new way to embed Metabase with greater control, customization, and flexibility. It allows developers to embed charts, dashboards, and query builders, apply advanced theming, and refine UX beyond iframes. Available on Pro and Enterprise plans.❯❯❯❯ Materialized Views in Data Stream Processing With RisingWave: This blog discusses Materialized Views in Data Stream Processing with RisingWave. It explains how materialized views enhance incremental computation by enabling efficient querying, caching, and aggregation in real-time data processing. The article explores RisingWave’s approach, benefits, and how it integrates materialized views for low-latency analytics.⚡ Quick Wins: BI Hacks for Instant Impact❯❯❯❯ API Management as Code: A Declarative Approach to Scale APIs. This blog explores API Management as Code, a declarative approach to managing APIs at scale. It explains how automation, GitOps, and the operator pattern streamline API lifecycle management, improve security, and enhance collaboration. The article also covers tools, best practices, and Kubernetes-based implementations.❯❯❯❯ Outbox Pattern: Reliable Messaging in Distributed Systems. This blog discusses The Outbox Pattern, a design pattern for ensuring reliable event publishing and data consistency in distributed systems. It explains how the pattern works, key components like the outbox table and message dispatcher, and its use cases in microservices, event sourcing, and transactional messaging.❯❯❯❯ Cloud-Driven Analytics Solution Strategy in Healthcare: This blog explores Cloud-Driven Analytics Solutions in Healthcare, focusing on real-time streaming analytics with Apache Spark, AWS, and Databricks. It details data ingestion, processing, storage, and governance, highlighting security, compliance (HIPAA), and scalability for efficient healthcare data management and actionable insights.❯❯❯❯ Efficient Data Handling in Python with Arrow: This blog introduces Efficient Data Handling in Python with Apache Arrow, highlighting its columnar in-memory format, zero-copy reads, and high-performance data processing. It covers data storage, compute functions, file handling (Parquet, ORC, CSV, JSON), and advanced features, making Arrow a powerful tool for analytics.🎤 Voices of BI: Lessons from Industry Experts❯❯❯❯ How to Scale Elasticsearch to Solve Your Scalability Issues? This blog explores Scaling Elasticsearch for High-Performance Search and Analytics, covering sharding, query optimization, memory management, and real-world deployment strategies. It highlights best practices for horizontal scaling, data ingestion, and performance tuning, ensuring efficiency in handling large-scale, high-velocity queries in distributed systems.❯❯❯❯ Use Azure Cosmos DB as a Docker Container in CI/CD Pipelines: This blog explores Using Docker Containers for CI/CD with Azure Cosmos DB Emulator, focusing on GitHub Actions integration. It demonstrates configuring the emulator as a service container, running integration tests in an isolated environment, managing certificates, and optimizing workflows for .NET, Python, Java, and Go applications.❯❯❯❯ API Strategy - Important for Digital Success: This blog explores the importance of API strategy for digital success, emphasizing an API-First approach to enhance scalability, integration, and developer experience. It highlights how a well-planned API strategy fosters innovation, platform thinking, and seamless digital experiences, ensuring business growth and competitive advantage.❯❯❯❯ Advanced Time Intelligence in DAX with Performance in Mind: This blog explores Advanced Time Intelligence in DAX, focusing on efficient performance and complex time-based calculations. It covers rolling sums, leap year adjustments, fiscal week YTD, and extended date tables to optimize queries in Power BI while balancing accuracy and computational efficiency.We’ve got more great things coming your way, see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

How Commerzbank is reinventing advisory workflows, Tips for Building Scalable Data Pipelines @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }✂️ Cut your QA cycles down from hours to minutes with QA WolfIf slow QA processes bottleneck you or your software engineering team and you’re releasing slower because of it — you must check out QA Wolf.Their AI-native approach gets your team to 80% automated end-to-end test coverage and helps them ship 5x faster by reducing QA cycles from hours to minutes.Schedule a DemoSponsored🗞️ Welcome to BIPro #85 – Your Weekly BI Power-Up! 🚀Dive into this week’s top insights, tools, and strategies to supercharge your data journey!📊Future of Data: Trends and Tools✦ Master Time-Series Visualization:Innovative ways to visualize complex data.✦ SQL Server Redefined:Revamp legacy architecture with Microsoft Fabric.✦ Python for Visuals:Level up your charts with Matplotlib.✦ AI Simplified:Harness the Naive Bayes model for smarter decisions.✦ Quick Conversion:Turn Excel files into CSVs effortlessly with Fabric.🔄Transformations in Action: Real-World BI✦ Streamline with Microservices:Azure Container Apps meet Dapr and Bicep.✦ Language Models in Action:Integrate LLMs into your systems.✦ SQL Pro Tips:Advanced techniques to tackle complex data tasks.✦ Scalable Pipelines:Essential tips for robust data systems.✦ AI Ethics Explored:Dive into the moral dilemmas of machine intelligence.⚡Instant Impact: BI Hacks You’ll Love✦ Fabric Features Rundown:What’s new this November.✦ AI’s Economic Shift:Automation’s impact on the workforce.✦ BI Fundamentals:Understanding the bias-variance tradeoff.✦ Power BI Upgrades:Latest features to boost your dashboards.✦ DIY Smart Assistant:Build your own with agents and tools.✦ Generative Search Simplified:Deploy VerifAI locally with ease.🎤Industry Voices: BI Wisdom in Action✦ Analytics Made Easy:How one leader simplifies BI for impact.✦ Cassandra to Spanner Made Easy:New proxy adapter simplifies migrations.✦ Smarter Chatbots:Build self-escalating agents with advanced tools.✦ Gen AI in Finance:How Commerzbank is reinventing advisory workflows.✦ Custom Visuals:Create stunning charts with Amazon QuickSight + Highcharts.✦ Productivity Boosters:Enhance visuals in Amazon QuickSight with imports.Get ready for this week’s latest BI trends, strategies, and insights to fuel your data-driven success!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ How to visualize time-series data? This blog dives into time-series visualization best practices, offering guidance on chart selection, data structuring, and advanced techniques. It includes a cheat sheet and webinar insights for creating impactful, clear visualizations tailored to specific time-based data patterns.⫸ Modernize a Traditional SQL Server Architecture with Fabric: This blog explores modernizing traditional SQL Server architectures with Microsoft Fabric, highlighting benefits like scalability, cost-effectiveness, and real-time analytics. It covers hybrid approaches, SaaS advantages, limitations, and a step-by-step project plan for implementation.⫸ Data Visualization with Python Matplotlib: This blog explores the various use cases of Python's Matplotlib library for data visualization and pattern recognition. It demonstrates how to create and customize line and bar charts. It highlights visualization as a crucial step in data analysis to uncover complex datasets' patterns, trends, and relationships.⫸ Naive Bayes Model for Machine Learning and AI: This blog introduces the Naïve Bayes classifier, a foundational machine learning model ideal for those who are just starting with the data career. It explains probability basics, conditional probability, Bayes' Theorem, and demonstrates implementing Naïve Bayes in Python for intuitive classification tasks.⫸ Convert Excel Workbooks to CSV with Microsoft Fabric: This blog explains how to convert Excel files to CSV using Azure Data Factory in Microsoft Fabric. It covers the step-by-step process, highlights use cases, and addresses challenges, enabling easyintegration of Excel data into Delta Lake tables for advanced data management.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Microservice Application with Azure Container Apps, Dapr and Bicep: This blog addresses the challenges of managing microservice infrastructure in the cloud by introducingBicep, a domain-specific language for deploying Azure resources. This guide helps you through creating and deploying microservice applications with Azure Container Apps, Dapr, and Bicep templates,with an emphasis on modularity and automation.⫸ Integrating Language Models into Existing Software Systems: Here you’ll learn the rising impact ofLarge Language Models (LLMs), their real-world applications, and practical methodsto integrate them into existing software infrastructure. It highlights their utility for developers, non-developers, and diverse industries while offering guidance on model selection, integration mechanisms, and hosting options.⫸ 7 Advanced SQL Techniques for Data Manipulation in Data Science: This is aboutadvanced SQL techniquesfor data manipulation in data science, including subqueries, CTEs, recursive queries, window functions, set operators, and GROUP BY extensions. You will get to know when and how to use these powerful tools for deeper, more efficient data analysis.⫸ 5 Tips for Building Scalable Data Pipelines: This blog dive deep into the importance ofhighly scalable data pipelinesin today’s data-driven world. It explains key pipeline stages, common scalability challenges, and tools to overcome them. Real-world scenarios, like scaling during high-traffic events, demonstrate how businesses can ensure efficient, reliable data flow.⫸ Exploring Ethics and Morality Through Machine Intelligence: This blog probesintomachine ethics, exploring challenges in aligning AI behavior with human values and examining frameworks for responsible AI. Using examples like Delphi and ethical dilemmas in autonomous vehicles, it raises critical questions about whose principles AI should follow and the path to establishing global ethical standards.⚡ Quick Wins: BI Hacks for Instant Impact⫸ Fabric November 2024 Feature Summary: This update is about theNovember 2024 Microsoft Fabric enhancements, featuring new tools and capabilities to elevate your data experience. Highlights include the preview launch of Fabric SQL Database, Copilot in Power BI mobile apps, Real-Time Dashboards, and expanded mirroring options for Azure SQL. Stay informed with sessions on SQL databases, certifications, and upcoming events like Microsoft Ignite 2024 and FabCon 2025 to explore these innovations further.⫸ The Economics of Artificial Intelligence — What Does Automation Mean for Workers? This article examines theeconomic impact of AI, highlighting its effects on jobs, productivity, and labor dynamics. Using a task-based economic framework, it explores how AI innovations automate or augment tasks, reshape labor markets, and create new opportunities.⫸ Bias-Variance Tradeoff: This piece focuses on the bias-variance tradeoff, a key concept in predictive modeling. Instead of sticking to theory, it uses real-world data to explain underfitting, overfitting, and why finding the right balance matters. Step by step, it shows how to build and improve models effectively.⫸ Power BI November 2024 Feature Summary: This update highlights exciting features likeCopilot in Power BI Mobile apps, enabling AI-driven insights on the go, and thePath Layer for Azure Map visuals, enhancing geospatial analysis. Additionally, it introduces theOneLake catalogfor ease ofdata management and announces certifications and upcoming events likeIgnite 2024andFabCon 2025.⫸ Build your Personal Assistant with Agents and Tools: This post explores addressing the limitations of LLMs by incorporatingAgents, Tools, and Chainsto enhance functionality. It covers creating simple chats, integrating tools for real-time tasks, adding memory, implementing human validation, and leveraging search capabilities for dynamic, actionable responses.⫸ How to Easily Deploy a Local Generative Search Engine Using VerifAI? This post introducesVerifAI Core, an updated generative search engine allowing you to index local files and create personalized search systems. It explains its architecture, including indexing, retrieval-augmented generation, and verification, while providing setup instructions and practical use cases.🎤 Voices of BI: Lessons from Industry Experts⫸ How One Data Leader Makes Analytics Less Intimidating and More Actionable? This post showcases how Darrick Bartley, an analytics leader at Charlie’s Produce, has transformed the organization into a data-driven culture. Through Tableau training, interactive visualizations, and leadership engagement, he’s made data analytics approachable, fostering better decision-making and operational efficiency across the company.⫸ New proxy adapter eases Cassandra to Spanner migration: This post introduces theCassandra to Spanner Proxy Adapter, a tool enabling effortlessmigration from Cassandra to Spanner without altering application logic. It highlights Spanner’s advanced features, success stories from Yahoo and Reltio, and a simplified migration process for modernizing data infrastructure.⫸ Create a self-escalating chatbot in Conversational Agents using Webhook and Generators: This post explains how to create aself-escalating chatbotusing Google Cloud’s AI tools like Vertex AI and Dialogflow CX. It outlines steps to build a knowledge base, gauge user satisfaction, escalate queries with generative AI, and integrate email triggers using Cloud Run Functions for a hassle-freeuser experience.⫸ How Commerzbank is transforming financial advisory workflows with gen AI: This post highlights how Commerzbank partnered with Google Cloud to implement an AI-powered automation system for financial advisory workflows. Leveraging tools like Vertex AI and Gemini 1.5 Pro, the solution streamlines documentation processes, boosts sales advisor productivity, and enhances client service efficiency, reducing manual workloads and accelerating task completion.⫸ Create custom charts in Amazon QuickSight using the Highcharts visual: This post introduces theHighcharts visual in Amazon QuickSight, empowering users to design tailored visualizations like packed bubble and lipstick column charts. With support for Highcharts JSON schema, this new feature enhances flexibility, branding, and interactivity while streamlining dashboard creation within QuickSight.⫸ Boost productivity with imported visuals in Amazon QuickSight: This post introduces theImport Visuals feature in Amazon QuickSight, allowing users to reuse visuals from existing dashboards or analyses with ease. By simplifying dashboard creation, enhancing collaboration, and reducing development time, this feature helps organizations maintain consistency and improve productivity in data visualization workflows.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

For a limited time, save on the best-selling books that will elevate your skills and knowledge! @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} } @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }Notion for StartupsThousands of startups use Notion as a connected workspace to create and share docs, take notes, manage projects, and organize knowledge—all in one place. We’re offering 6 months of new Plus plans, including unlimited Notion AI so you can try it all for free!Redemption InstructionsTo redeem the Notion for Startups offer:1. Submit an application using our custom link: https://ntn.so/packt and select Packt on the partner list.2. 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Ready to dive in?Your cloud deserves dedicated data protection94% of cloud tenants were targeted last year, and 62% were successfully compromised.The hard truth is that organizations are having a hard time securing their cloud data—and cyberattackers are ready to exploit that challenge.Here’s a handy resource you’ll want with you as you map out your plan: Orchestrating the Symphony of Cloud Data Security.You’ll learn how to:Overcome the challenges of securing data in the cloudNavigate multi cloud data securityBalance data security with cloud economicsClick below to download your complimentary copy.Download NowSponsored➽ RAG-Driven Generative AI: This new title, RAG-Driven Generative AI, is perfect for engineers and database developers looking to build AI systems that give accurate, reliable answers by connecting responses to their source documents. It helps you reduce hallucinations, balance cost and performance, and improve accuracy using real-time feedback and tools like Pinecone and Deep Lake. By the end, you’ll know how to design AI that makes smart decisions based on real-world data—perfect for scaling projects and staying competitive! Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $29.99 $43.99➽ The AI Value Playbook: This new title, The AI Value Playbook, helps tech leaders understand how to harness AI to boost business value. It breaks down key AI concepts and tech in simple terms, shares real-world examples from business leaders, and offers strategies to integrate AI into your company. Perfect for navigating AI’s fast-paced changes and applying it effectively across various sectors! Start your free trial for access, renewing at $19.99/month.eBook $35.99Print + eBook $30.99 $44.99➽ Building Production-Grade Web Applications with Supabase: This new book is all about helping you master Supabase and Next.js to build scalable, secure web apps. It’s perfect for solving tech challenges like real-time data handling, file storage, and enhancing app security. You'll even learn how to automate tasks and work with multi-tenant systems, making your projects more efficient. By the end, you'll be a Supabase pro! Start your free trial for access, renewing at $19.99/month.eBook $15.99 $31.99Print + eBook $27.98 $39.99➽ Python Data Cleaning and Preparation Best Practices: This new book is a great guide for improving data quality and handling. It helps solve common tech issues like messy, incomplete data and missing out on insights from unstructured data. You’ll learn how to clean, validate, and transform both structured and unstructured data—think text, images, and audio—making your data pipelines reliable and your results more meaningful. Perfect for sharpening your data skills! Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽ Unlocking Data with Generative AI and RAG: This new book is all about helping tech teams solve real-world problems using retrieval-augmented generation (RAG). It simplifies how to combine large language models (LLMs) with your own data to improve AI apps, like search engines or chatbots. You'll learn to manage vector databases, automate workflows, and tackle common challenges in RAG implementation, making your AI systems smarter and more effective in decision-making. Start your free trial for access, renewing at $19.99/month.eBook $21.99 $31.99Print + eBook $27.98 $39.99➽ Principles of Data Science - Third Edition: This book is perfect for dataprofessionals who want to make sense of big data and build machine learning models that work. It helps solve problems like cleaning messy data, creating insightful visualizations, and managing biases in models. You’ll learn practical ways to deploy ML pipelines, handle complex datasets, and tackle real-world challenges with case studies. It's a clear guide for mastering data science, from math to machine learning! Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99➽ Bayesian Analysis with Python - Third Edition: This book is all about helping you tackle data analysis using Bayesian methods. It solves the challenge of building and interpreting complex models, making it easier with step-by-step guidance using tools like PyMC and ArviZ. You’ll learn how to create models, check them for accuracy, and apply Bayesian thinking to real-world problems—perfect for anyone wanting to strengthen their data science skills! Start your free trial for access, renewing at $19.99/month.eBook $19.99 $39.99Print + eBook $34.98 $49.99Eager for more insights? Add these powerful resources to your reading list.➽ The Machine Learning Solutions Architect Handbook - Second Edition: This book is for tech professionals who want to solve big machine learning challenges using cloud tools like AWS. It tackles issues like managing risks in the ML lifecycle, building scalable architectures, and understanding generative AI. You’ll learn how to design ML solutions that work in real-world business scenarios, from training large models to using generative AI effectively. By the end, you'll be ready to handle the technical and business sides of ML projects with confidence.➽ Causal Inference and Discovery in Python:This book is all about helping you solve the tricky problems of understanding cause and effect in data.It teaches you how to go beyond traditional stats with causal methods, like figuring out what really drives outcomes using Python. You’ll learn key concepts like interventions and counterfactuals, and master tools for discovering causal relationships—useful for building smarter, more reliable models. Perfect for anyone looking to level up their data science game with causal thinking!➽ Hands-On Genetic Algorithms with Python - Second Edition: This book focuses on solving optimization challenges using genetic algorithms in Python. You'll discover how to tackle complex problems like planning, scheduling, and enhancing machine learning models. It covers bio-inspired algorithms like PSO and NEAT, leveraging cloud computing for faster solutions, and applying AI techniques such as NLP and reinforcement learning. It's a great guide for taking your AI projects to the next level with powerful, scalable solutions!➽ Learning Geospatial Analysis with Python - Fourth Edition: This book helps you create powerful GIS solutions using Python 3.10, guiding you through essential geospatial tools like PostGIS, QGIS, and PROJ. It covers automating workflows, handling various data formats, and creating stunning visualizations with Python libraries. You'll also explore remote sensing, real-time data tracking, and geospatial modeling for applications like urban planning and disaster management. Perfect for building customized geospatial apps and unlocking the full potential of geospatial technology!➽ Data Science with .NET and Polyglot Notebooks: This book is a hands-on guide for .NET developers looking to dive into data science, machine learning, and AI. It helps you conduct data experiments using Polyglot Notebooks and .NET Interactive tools, covering key topics like data analysis, model training, and AI orchestration. With interactive examples and online code access, you'll gain practical skills to solve real-world problems and apply advanced data science techniques in your .NET projects. Perfect for expanding your .NET expertise into the world of analytics and AI!➽ TradeStation EasyLanguage for Algorithmic Trading: This book is perfect for traders wanting to learn algorithmic trading using TradeStation EasyLanguage. It guides you through building tools for Equities, Futures, and Forex markets, combining traditional trading techniques with machine learning to refine your strategies. You'll also learn risk management algorithms and how to program for mechanical trading, giving you a well-rounded, hands-on approach to mastering algorithmic trading in the financial markets. Great for those looking to blend AI with technical trading!We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} } @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

Streamline with Fivetran, Automated SQL Restore Scripts, Troubleshooting Spark in Fabric @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🗞️Welcome to BIPro #86 – Your Weekly Business Intelligence Boost! 🚀Get ready for a fresh dose of insights, strategies, and tools to supercharge your data-driven decisions.📊Trendy Insights◘ Python Pro Tips:Simplify large dataset handling like a pro.◘ Conda Commands You Need to Know:10 essentials for smarter data science.◘ Surprising Data Sources:5 unconventional places to discover valuable insights.◘ GraphQL Meets SQL:Executing stored procedures in Microsoft GraphQL API.◘ Streamline with Fivetran:Data engineering made simpler.🔄Real-World BI in Action◘ Real-Time Dashboards with Copilot:Create smarter insights on the go.◘ Automated SQL Restore Scripts:Save time with effortless automation.◘ DBA’s Guide to Change Management:Track and manage database updates with ease.◘ Google Gemini Tackles Code Challenges:AI in action during Advent of Code.◘ AI Agents in Networking:How machine learning is reshaping the industry.◘ Model Validation Tips:Best practices for reliable results.⚡Quick Wins for Big Impact◘ Fabric Dashboards Are Here:Real-time dashboards now generally available.◘ From Excel to Power Query:Elevate your analytics game.◘ Generative AI for Enterprises:Why chatbots fail and how AI can succeed.◘ Simplify Data Analysis with R:Find variables across multiple files effortlessly.◘ Dataproc Serverless Updates:Performance and usability upgrades you’ll love.◘ Secure Your Data with Google Cloud:Must-read guide for building a robust platform.🎤Expert BI Insights◘ PayPal’s DataFlow Migration:Real-time analytics success story.◘ Amazon Grocery’s BI Transformation:Smarter operations with QuickSight.◘ CloudWatch & OpenSearch:A seamless analytics experience.◘ Troubleshooting Spark in Fabric:Tips for navigating production challenges.◘ BluSmart's Green Mobility Revolution:Sustainable insights powered by QuickSight.◘ Prompted Reports in QuickSight:Empower users with better scheduling and customization.Ready to dive into the latest BI insights? Let's unlock the power of data!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights⫸ Tips for Handling Large Datasets in Python: Handling large datasets in Python doesn’t have to be overwhelming! This blog walks you through practical tips and tools—like generators, multiprocessing, pandas chunksize, Dask, and PySpark—to efficiently process big data while keeping it memory-friendly.⫸ 10 Essential Conda Commands for Data Science: Effectively managing Python environments is crucial for avoiding conflicts and ensuring consistent results. This blog highlights 10 must-know Conda commands—such as creating, activating, and exporting environments—that simplify your workflow and eliminate “it works on my machine” issues.⫸ 5 Unconventional Sources of Data for Your Next Project: This blog introduces five unconventional data sources for your next project. You’ll learn how social media, public sensors, wearables, satellite imagery, and web scraping can offer fresh insights. These options can elevate your research beyond traditional data methods.⫸ Execute Stored Procedures in the Microsoft GraphQL API: This article explains how to leverage Microsoft Fabric’s GraphQL API to use stored procedures. While the API handles queries and updates well, it can also support stored procedures for modifying data or returning result sets. The article walks through integrating stored procedures as queries or mutations in your application.⫸ Simplify Data Loading with Fivetran (HVR): Data Engineering with Fabric: This article addresses how to replicate large tables without slowly changing dimensions (SCD) from a PostgreSQL database to Azure Databricks using Fivetran. It explains the business problem, SCD types, and incremental load strategies. Fivetran’s automated replication of transaction logs is highlighted as the optimal solution to efficiently move data to the cloud.🔄 Real-World Transformation: How Gen BI Made Data Work⫸ Creating a Real Time Dashboard (RTD) using Copilot: This article explains how to use Copilot to create Real-Time Dashboards (RTDs) in Microsoft Fabric. It aims to make dashboard creation automatic and user-friendly without technical expertise. Copilot generates insightful KQL queries and helps users filter and visualize data, providing quick insights from streaming and timeseries data.⫸ Automatically Generate Restore Database SQL Server Scripts: This article provides a T-SQL script to automate the restoration of multiple SQL databases onto a new server. It explains how to generate dynamic RESTORE DATABASE commands, reducing manual effort in migrating large numbers of databases. The script handles backup files, restores full backups, and supports destination directory customization.⫸ Change Management for DBAs to Install and Track Database Changes: This article focuses on the Change Management process for DBAs handling production database changes. It provides practical steps for tracking and installing changes, including saving necessary files, preparing in advance, and maintaining historical documentation. By following this process, DBAs ensure efficient and compliant database change management in production environments.⫸ Google Gemini Is Entering the Advent of Code Challenge: This blog discusses using the Google Gemini LLM to tackle the Advent of Code challenge, a series of daily programming puzzles. The author explores how Gemini generates Python code to solve the challenges, sharing the process and results via an open-source repository. The post emphasizes the potential of LLMs in coding, offering insights into automated problem-solving for developers.⫸ AI Agents in Networking Industry: This article explores the use of AI agents in automating network deployment, configuration, and monitoring. It demonstrates a multi-agent system workflow for deploying a network with CrewAI’s MAS, including tasks like extracting installation steps, executing commands, generating configurations, and verifying connectivity. The use of AI agents in networking shows their potential to automate complex processes, adapt to challenges, and optimize performance.⫸ Model Validation Techniques: This article introduces various model validation techniques for machine learning, emphasizing their importance in assessing the reliability of predictions. Using a decision tree classifier and a golf-playing dataset, the author demonstrates different validation methods, starting with the simple train-test split, which divides data into training and testing sets. Through clear examples and visuals, readers can better understand how validation methods impact model performance and why choosing the right method matters.⚡ Quick Wins: BI Hacks for Instant Impact⫸ Real-Time Dashboards in Microsoft Fabric is now GA: Microsoft Fabric's Real-Time Dashboards are now generally available, offering fast and actionable insights with no coding required. These dashboards allow users to track key metrics in real time, with auto-refresh rates as low as 10 seconds. New features like flexible, secure data sharing and no-code data exploration empower users to make faster decisions while maintaining data security.⫸ Think you Know Excel? Take Your Analytics Skills to the Next Level with Power Query! This article explores the power of Power Query in Excel, showcasing its ability to simplify tasks like merging datasets, transforming columns, handling missing data, and summarizing information. With user-friendly features, Power Query helps streamline data analysis, saving time and eliminating the need for complex formulas.⫸ Why Internal Company Chatbots Fail and How to Use Generative AI in Enterprise with Impact? This article emphasizes the importance of focusing on business processes rather than just applying chatbots in generative AI solutions. It argues that AI should be used to optimize specific tasks within processes, leveraging orchestration and templates for efficiency and reproducibility. By analyzing workflows and integrating AI into these steps, businesses can achieve meaningful improvements and avoid the pitfalls of using AI chatbots as a one-size-fits-all solution.⫸ Effortless Data Handling: Find Variables Across Multiple Data Files with R. This blog provides a step-by-step guide on how to quickly identify and extract specific variables from multiple SAS files using R functions. The workflow streamlines data preparation, making it easier to handle large datasets and automate the process of locating and merging variables efficiently.⫸ Dataproc Serverless performance and usability updates: This blog announces new features in Dataproc Serverless that enhance Spark job performance and monitoring. Key updates include native query execution for faster batch jobs, built-in Spark UI for real-time monitoring, automated troubleshooting with Gemini, and an "Investigate" tab for simplified error detection.⫸ Learn how to build a secure data platform with Google Cloud ebook: This blog introduces Google Cloud's data security tools outlined in their ebook, "Building a Secure Data Platform with Google Cloud." It highlights features like BigQuery's encryption, IAM controls, VPC Service Controls, and automated monitoring, all designed to protect data while enabling innovation and compliance.🎤 Voices of BI: Lessons from Industry Experts⫸ PayPal's DataFlow Migration: Real-Time Streaming Analytics. This blog details PayPal's successful migration to Google Cloud's Dataflow, addressing challenges with their previous self-managed streaming infrastructure. Dataflow's scalable, cost-efficient, and serverless platform helped improve reliability, optimize performance, and enable real-time AI/ML analytics, enhancing PayPal's observability and empowering innovation in their operations.⫸ Amazon Grocery’s Whole Foods Market simplifies operations and boosts performance with modern business intelligence using Amazon QuickSight: This blog shares how Whole Foods Market migrated to Amazon QuickSight to enhance their business intelligence (BI) platform. The transition improved performance, reduced costs, and streamlined operations across the organization. QuickSight's scalability, security, and speed have empowered teams with faster, more reliable insights, driving better decision-making.⫸ New Amazon CloudWatch and Amazon OpenSearch Service launch an integrated analytics experience: This blog announces the integration between Amazon CloudWatch and Amazon OpenSearch Service, enabling zero-ETL log analysis. It simplifies data visualization and analysis by allowing users to query CloudWatch logs using OpenSearch SQL and PPL directly, and create pre-built dashboards for AWS logs, enhancing operational efficiency.⫸ Troubleshooting Fabric Spark application without production workspace access: This blog outlines how to troubleshoot failed Spark jobs in Microsoft Fabric production environments. It guides production support engineers on downloading event logs from the Spark History Server and developers on configuring a local Spark History Server to render and analyze those logs for troubleshooting.⫸ BluSmart revolutionized sustainable mobility with Amazon QuickSight: This blog discusses how BluSmart, South Asia’s largest zero-emission ride-hailing service, leverages Amazon QuickSight to scale its business. It highlights how QuickSight improves operational efficiency, enables real-time insights, and enhances customer experience, supporting their growth in the electric mobility industry.⫸ Empower business users with prompted reports and reader scheduling in Amazon QuickSight: This blog explains how Amazon QuickSight's new features, prompted reports and reader scheduling, empower business users to accelerate information gathering. Prompted reports allow users to customize filters in pixel-perfect reports, while reader scheduling lets viewers create their own email report schedules, improving efficiency.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

Design Data Warehouse with Medallion Architecture in Microsoft Fabric, Change Advisory Boards (CAB) @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }👋 Hello ,🌟 Welcome to BIPro #81 – Your Weekly BI Power-Up! 🚀Here's your curated roundup of must-know insights, strategies, and tools shaping business intelligence today. Let's dive in!🚨 Packt Conference Alert! 🚨Stay at the forefront of AI innovation! 🚀 Join us for 3 action-packed days of LIVE sessions with 20+ top experts and unleash the full power of Generative AI at our upcoming conference. Don’t miss out - Claim your spot today!🚀 Data Trends Driving the Future✦ Python Typer in Minutes: Create quick, efficient CLIs with Python Typer.✦ Interactive Apps, Simplified: Build dynamic data science apps with Python.✦ Scaling AI for Success: Top ways to supercharge your data initiatives.✦ Optimize SQL Performance: Save costs on small SQL queries with smart parallelism.🌐 Data-Driven Transformation✦ Privacy’s Limit: Why data minimization isn’t a silver bullet for privacy.✦ Cracking AI Logic: Exploring limitations in AI’s math reasoning.✦ The ChatGPT Conundrum: Why AI adoption lags in everyday work.✦ Sampling Simplified: A visual take on oversampling vs. undersampling.✦ New Power BI Features: Highlights from the October 2024 update.⚡ Quick Wins: BI Hacks for Instant Gains✦ AI Workflows Decoded: Choose between LangGraph and LangChain.✦ BigQuery Made Easy: AI-driven data prep now live!✦ Unity’s Ad Surge: 10M operations/second, powered by Memorystore.✦ No-Code ML with SageMaker Canvas: Import data directly from BigQuery.✦ GoDaddy’s BI Success: Cutting analytics time from weeks to minutes.🎤 BI Wisdom from Industry Leaders✦ CAB Simplified: Smart strategies for Change Management.✦ Medallion Architecture: A powerful approach to data warehouse design.✦ Unlocking GraphQL API: Strengthen relationships with Microsoft Fabric.✦ AI Research with Local Data: Running the STORM system with ease.✦ Free Native Execution: Boost performance without the cost!Get ready to level-up your business intelligence game! Happy reading!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktPackt’s Signature Series: New Titles Just Arrived!📚➽Learn Microsoft Fabric: Explore Microsoft Fabric's features through real-world examples to build robust data analytics solutions, including lakehouses and data warehouses. Learn to monitor and manage your analytics system for flexibility, performance, and security, while leveraging AI-driven insights with Copilot integration. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $30.99 $44.99➽Microsoft Power BI Cookbook - Third Edition: Dive into Microsoft Data Fabric to enhance data strategies and gain deeper insights. Effortlessly create Hybrid tables and comprehensive scorecards while utilizing new visualization tools that transform complex data into clear, actionable charts and reports for effective decision-making in Power BI. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $41.98 $59.99➽Fundamentals of Analytics Engineering: Explore how analytics engineering aligns with your organization's data strategy while gaining insights from seven industry experts. Address common challenges faced by businesses and learn to implement scalable analytics solutions, from data ingestion to visualization, using industry-leading tools. Start your free trial for access, renewing at $19.99/month.eBook $24.99 $35.99Print + eBook $44.99➽Getting Started with DuckDB: Utilize DuckDB to efficiently load, transform, and query diverse data sources and formats. Gain hands-on experience with SQL, Python, and R for data analysis, while exploring how open-source tools and cloud services enhance DuckDB’s versatile capabilities in the data ecosystem. Start your free trial for access, renewing at $19.99/month.eBook $29.99 $43.99Print + eBook $54.99📊 Data Viz Trends Shaping the Future of Insights➽ Python Typer Tutorial: Build CLIs with Python in Minutes. This blog is a quick-start guide to building Command Line Interfaces (CLIs) with Python using Typer. It covers setting up Typer, creating commands, and managing inputs for tasks, time, and priorities, all through a hands-on example of a schedule tracker CLI. Perfect for beginners!➽ Building Interactive Data Science Applications with Python: This blog is a guide to building interactive data science apps in Python. It introduces libraries like Streamlit, Gradio, Dash, and Panel, showcasing each one’s strengths in adding user inputs, feedback, and multimedia features to create engaging, data-driven applications with minimal coding.➽ Limit Cost Threshold for Parallelism for Small SQL Queries: This article explores the impact of increasing SQL Server's Cost Threshold for Parallelism (CTFP) from the default setting of 5 to 35. It details CTFP's role in query parallelism, guides you through changing it, and demonstrates performance benefits for smaller queries by reducing unnecessary parallelism.🔄 Real-World Transformation: How Gen BI Made Data Work➽ Data Minimization Does Not Guarantee Privacy: This article reviews the data minimization principle in machine learning, highlighting its focus on collecting only essential data to limit privacy risks. It discusses regulatory expectations, such as purpose limitation and data relevance, and emphasizes the gap between minimizing data and achieving privacy, noting that reduced data can still allow reconstruction and re-identification.➽ GSM-Symbolic: Analyzing LLM Limitations in Mathematical Reasoning and Potential Solutions. This article reviews the paper GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models, which critiques large language models' (LLMs) mathematical reasoning capabilities. Through the GSM-Symbolic benchmark, it highlights LLMs’ performance variability, sensitivity to minor changes, and limitations in logical reasoning. The findings advocate for synthetic datasets to improve model robustness and accuracy.➽ The AI Productivity Paradox: Why Aren’t More Workers Using ChatGPT? This article argues that the slow adoption of AI tools like ChatGPT in workplaces stems from organizational culture rather than technical complexity. It highlights the need for leadership to prioritize deep, exploratory work over short-term deliverables, allowing employees to discover AI's value in meaningful, tailored ways, rather than just sticking to basic tasks.➽ Oversampling and Undersampling, Explained: A Visual Guide with Mini 2D Dataset. This article explains essential data preprocessing techniques, focusing on balancing datasets for machine learning models. It covers oversampling and undersampling methods like Random Oversampling, SMOTE, ADASYN, Random Undersampling, and Tomek Links, each suited to different dataset needs. Visual examples highlight how these techniques impact data, offering insights into choosing the right method for your ML project.➽ Power BI October 2024 Feature Summary: This month’s Power BI update enhances reporting with Copilot’s improved contextual features, supports visual calculations in combo charts, and introduces new visualizations like Date Picker. Microsoft Fabric Copilot replaces quick measure suggestions, supporting natural language DAX queries.⚡ Quick Wins: BI Hacks for Instant Impact➽ AI Agent Workflows: A Complete Guide on Whether to Build With LangGraph or LangChain. This article compares LangChain and LangGraph for building Agentic AI applications, focusing on their workflows and tool orchestration. LangChain offers simpler chain-based structures and built-in memory, ideal for straightforward cases. In contrast, LangGraph supports complex, conditional workflows with graph-based flexibility, ideal for intricate logic and control.➽ Introducing AI-driven BigQuery data preparation: BigQuery’s new data preparation tool, powered by Gemini AI, automates data cleaning, transformation, and pipeline orchestration, reducing time spent on data prep by suggesting intelligent transformations. With a low-code, visual interface, it empowers users to improve data quality for advanced analytics seamlessly across Google Cloud’s ecosystem.➽ Unity Ads powers up to 10M operations per second with Memorystore: Unity Ads manages over 1 million Redis operations per second, leveraging Google Cloud’s Memorystore for Redis Cluster for scalable, low-latency performance. This transition from DIY Redis setups to Memorystore improved stability, eliminated downtime during scaling, and reduced infrastructure management overhead, streamlining operations under demanding ad workloads.➽ Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas: This article presents a solution to integrate data from Google Cloud's BigQuery into Amazon SageMaker Canvas using AWS Athena Federated Query, enabling no-code ML model building without moving data. The approach leverages Athena’s Google BigQuery connector and AWS Secrets Manager for secure, scalable access, providing a streamlined, cross-cloud data preparation and ML workflow.➽ GoDaddy uses Amazon QuickSight and Amazon Q to compress business intelligence analytics from weeks to minutes: This blog shares how GoDaddy is using Amazon QuickSight to streamline data analytics and insights, moving from manual, dashboard-focused processes to AI-powered, self-service analytics. With QuickSight’s natural language and Generative BI capabilities, GoDaddy has empowered business analysts, improved data governance, and accelerated data-driven decision-making across the organization.🎤 Voices of BI: Lessons from Industry Experts➽ Change Advisory Boards (CAB) for Change Management: This blog explains Change Advisory Board (CAB) meetings in Change Management, highlighting their purpose in reviewing, approving, and scheduling production changes within IT environments. It also covers Emergency CAB (ECAB) meetings for urgent changes, detailing the role of stakeholders, project managers, and the importance of communication for successful implementations.➽ Design Data Warehouse with Medallion Architecture in Microsoft Fabric: This blog outlines how to design a data warehouse using the Medallion Architecture in Microsoft Fabric. By organizing data into bronze, silver, and gold layers, the approach enables efficient data processing from raw ingestion to curated insights, supporting analytics and BI needs in a structured, scalable environment.➽ Relationships with Microsoft Fabric GraphQL API: This blog discusses using Microsoft Fabric’s GraphQL API to join data across tables in a data warehouse modeled in a star schema. It explains setting up relationships between tables within the GraphQL schema, enabling users to query multiple tables together for enhanced reporting, while highlighting some limitations in querying large datasets.➽ Running the STORM AI Research System with Your Local Documents: This blog explores STORM, an LLM-driven research tool by Stanford that simulates multi-perspective conversations to tackle complex research tasks. Designed for generating Wikipedia-style articles, STORM now supports local datasets, enabling organizations to leverage internal documents, like FEMA resources, for AI-supported research.➽ Native Execution Engine available at no additional cost! This blog introduces the Native Execution Engine, now available at no extra cost, enhancing performance in Microsoft Fabric’s Data Engineering and Data Science workflows. With easy activation and full Apache Spark API compatibility, it boosts efficiency for complex workloads like Parquet and Delta transformations, offering significant speed improvements.We’ve got more great things coming your way—see you soon!*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }

AI tools, data agents, Copilots, and Python tips, real wins in modern BI and dev workflowsAembit: Smarter Access for Apps and AI AgentsLaunching at RSA Conference: Aembit is introducing its Identity Federation Hub, a breakthrough for securing non-human identities (NHIs) like apps, AI agents, and service accounts, without using long-lived secrets.Instead of spreading static credentials across clouds, Aembit acts as a short token service that brokers identity-based access across AWS, Azure, GCP, and SaaS platforms. Think of it as "MFA for machines", dynamic, posture-aware access with no code changes for developers.✅ No secret sprawl✅ No custom auth logic✅ Just-in-time, cross-cloud access controlWith support from Snowflake and others, Aembit is redefining what it means to enforce Zero Trust at scale for workloads. Learn how they’re making identity-first access practical in today’s multi-cloud, AI-driven world.Learn more about AembitSponsoredSubscribe | Submit a tip | Advertise with usWelcome to this edition of BIPro #99, where we bring together the most practical breakthroughs and real-world strategies shaping the future of analytics, databases, and AI-powered data workflows.This issue is packed with insights that help you go beyond charts and dashboards, from streamlining Jira project reporting with generative BI in Amazon QuickSight, to debugging Python smarter, and building AI agents on real-time Oracle data.Highlights include:✅ AI-assisted database troubleshooting with Cloud SQL and AlloyDB✅ Fabric Copilot turning natural language into T-SQL✅ BigQuery ML’s contribution analysis now GA for automated trend detection✅ Low-code AI in notebooks and Data Wrangler✅ Python essentials like decorators and debugging techniques you’ll actually use✅ Oracle to OneLake replication without the ETL headache✅ Data Analyst GPT to clean, cluster, and model without codeWhether you're a data engineer, analyst, or architect, this roundup helps you stay sharp and ship smarter in the AI-driven data era.Let’s dive in.CheersMerlyn ShelleyGrowth Lead, Packt📊 Data Viz Trends Shaping the Future of Insights📌 Unlock data insights from custom Jira projects using generative BI in Amazon QuickSight: Extract insights, streamline reporting, and visualize Jira data with Amazon QuickSight’s generative BI. This blog shows how to integrate AWS services to automate the flow from Jira to dashboards, making it easier to analyze custom fields, track project progress, and empower teams with real-time, actionable project management data.📌 Inside AI assisted troubleshooting for databases: Troubleshoot smarter, optimize faster, and manage databases with confidence using AI-assisted tools in Cloud SQL and AlloyDB. This blog shows how generative AI simplifies root-cause analysis, predicts query issues, and delivers clear recommendations, empowering developers to maintain performance without deep database expertise, and accelerating development in modern DevOps environments.📌 BigQuery ML contribution analysis models now GA: Pinpoint drivers, uncover trends, and act on insights with BigQuery ML’s contribution analysis. This blog explores how to automate multidimensional analysis at scale, helping you identify what’s influencing key metrics like sales drops or user behavior. With new features, it's faster and easier to surface impactful patterns across complex datasets.📈 Dive into Databases: SQL Essentials📌 Query vs. Mutation in API for GraphQL – Understanding the difference: Build smarter APIs, fetch data efficiently, and update systems with precision using API for GraphQL in Microsoft Fabric. This blog breaks down the difference between queries and mutations, shows how to enable or disable them dynamically, and explains how GraphQL simplifies interaction with various Fabric-supported data sources for modern development.📌 Evaluate your Fabric Data Agents programmatically with the Python SDK (Preview): Evaluate agents, test accuracy, and improve responses using the new Fabric SDK preview for Data Agents. This blog walks through running structured evaluations from notebooks or pipelines, letting you define ground truth, apply custom prompts, and view performance metrics. Perfect for fine-tuning and validating Data Agents before production deployment.📌 Announcing Copilot for SQL Analytics Endpoint in Microsoft Fabric (Preview): Query data, explore insights, and generate SQL instantly with Copilot for SQL Analytics Endpoint in Microsoft Fabric. This AI-powered assistant converts natural language into optimized T-SQL across Lakehouses, Warehouses, and mirrored databases, streamlining complex queries and accelerating analytics. Now in preview, it brings speed, clarity, and confidence to everyday data work.🔄 Real-World Transformation: How Gen BI Made Data Work📌 Fabric April 2025 Feature Summary: Explore new AI tools, streamline migrations, and enhance performance with Microsoft Fabric’s April 2025 updates. Highlights include low-code AI in notebooks, session-scoped temp tables, a built-in migration assistant for Data Warehouse, and Copilot access on all paid SKUs, empowering users across roles to move faster, work smarter, and deliver more value.📌 Custom Python Decorator Patterns Worth Copy-Pasting Forever: Boost performance, debug smarter, and write cleaner Python with these five powerful decorator patterns. This blog walks through memoization, logging, timing, and retry logic, with real examples and code snippets. Whether you're optimizing workflows or simplifying diagnostics, these reusable patterns can streamline how you write and manage Python functions.📌 7 Python Debugging Techniques Every Beginner Should Know: Debug faster, fix smarter, and code with confidence using these 7 beginner-friendly Python debugging techniques. From smarter print statements to using assertions and reading stack traces effectively, this blog shares practical tips to help you catch bugs early, understand common pitfalls, and improve your problem-solving instincts as a Python developer.⚡ Quick Wins: BI Hacks for Instant Impact📌 Accelerate AI on Oracle Databases with Open Mirroring, Fabric Data Agent, and Azure AI Foundry: Replicate Oracle data, build data agents, and power AI insights with Microsoft Fabric and Azure AI Foundry. This blog shows how Open Mirroring and Oracle GoldenGate integration streamline real-time data flow into OneLake, enabling AI-driven analytics with Fabric’s data agents and Azure AI agents, without heavy ETL or complex SQL.📌 Data Analyst AI tool: Clean datasets, explore trends, and build models using the Data Analyst GPT in ChatGPT. This blog walks through hands-on steps, from loading and cleaning Titanic data to generating visualizations, clustering, and logistic regression, all without writing code. Perfect for analysts looking to speed up insights with AI-driven workflows.📌 Temporary Tables in a Microsoft Fabric Warehouse: Explore limitations, troubleshoot performance, and rethink temporary tables in Microsoft Fabric Warehouse. This blog highlights gaps in Fabric’s temp table support compared to SQL Server, walks through a demo with alternative techniques, and offers practical workarounds to handle intermediate result sets efficiently in today’s distributed Fabric environment.*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{font-size:75%;line-height:0} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}}

Azure Real-Time Streaming, Interactive AI/BI Dashboards with Databricks, Hyper-Optimized AI Workflow🔌GraphQL API for Fabric, Next-Gen Digital Analytics Solution - Powered by Snowplow and Snowflake on AWS, AI chat at Domo with Amazon BedrockLive Webinar: The Power of Data Storytelling in Driving Business Decisions (September 10, 2024 at 9 AM CST)Data doesn’t have to be overwhelming. Join our webinar to learn about Data Storytelling and turn complex information into actionable insights for faster decision-making.Click below to check the schedule in your time zone and secure your spot. Can't make it? Register to get the recording instead.REGISTER FOR FREESponsored @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }🦋 Welcome to BIPro #74—Your Weekly Data Power-Up! 🚀We’re switching our schedule to Tuesdays to keep you ahead of the curve right at the start of your week! Dive into the latest BI trends, cutting-edge strategies, and essential reads to supercharge your data game.📖 Must-Reads This Week:✦ Data Literacy with Python by Oswald Campesato✦ Data Analysis for Business Decisions: A Laboratory Manual by Andres Fortino✦ Generative AI with Amazon Bedrock by Shikhar Kwatra & Bunny Kaushik✦ Database Design and Modeling with PostgreSQL and MySQL by Alkin Tezuysal & Mr. Ibrar Ahmed✦ Unleashing the Power of Data with Trusted AI by Wendy Turner-Williams📊Trends Shaping Data Insights:✦ API for GraphQL in Microsoft Fabric✦ Containers for Seamless SQL Server Deployment✦ NumPy in Linear Algebra Applications✦ Next-Gen Digital Analytics with Snowplow and Snowflake✦ New Storage Integration in Snowflake Connector🔄 Real-World Transformations:✦ Enhanced AI/BI Dashboards with Databricks✦ The Future of Data Lakehouses in Analytics & ML✦ Forecasting Service Utilization with Tabnet & Optuna✦ Designing Real-Time Streaming Platforms with Azure✦ Real-Time Financial Data Feeds with Amazon MSK & Flink⚡ Quick Wins for Instant Impact:✦ Let Tableau Write Your SQL✦ The Power of Predictive Analytics & BI✦ AtScale’s New Natural Language Query Capabilities✦ AI Chat Exploration in Domo with Amazon Bedrock✦ Customer Management Insights with PwC’s Engine on AWS🎤 Expert Voices:✦ Scaling Numerical Data: A Visual Guide by Samy Baladram✦ Implementing Graph RAG with Knowledge Graphs by Steve Hedden✦ 5 Pillars for a Hyper-Optimized AI Workflow by Gilad Rubin✦ Azure Managed Instance for SQL Server Backup & RestoreLet’s level up your BI game this week!Calling All Data & BI Enthusiasts!Do you dream of sharing your insights and building your reputation in the Data & BI community? Contribute to our new column in the Packt BIPro newsletter! Share your experiences, discuss new BI tools, or ask questions. Gain recognition among 37,000 BI professionals. Reply with your Google Docs article or use our weekly feedback form. Enjoy a free PDF of "Interactive Data Visualization with Python - Second Edition" for participating. Click reply or share your content today!Share your thoughts and opinions here!Cheers,Merlyn ShelleyEditor-in-Chief, PacktSign Up|Advertise|Archives📚 Packt Author Insights: New Titles Just for You!We’re thrilled to bring you this week’s must-have new releases, straight from the experts to your bookshelf! Whether you're eager to enhance your skills or explore new horizons, now is the perfect moment to add these invaluable resources to your collection.For a limited time,enjoy 30% off all eBooks at Packtpub.com. These books are thoughtfully crafted by industry insiders with hands-on experience, offering unique insights you won’t find anywhere else.Don’t let these Packt-exclusive deals slip away—seize the opportunity to learn from the best at an unbeatable price!Order Today at $34.98 $49.99Data Literacy with Python: A Comprehensive Guide to Understanding and Analyzing Data with PythonBy Mercury Learning and Information, Oswald CampesatoUnlock the world of data with this engaging new book designed to make learning data analysis, statistics, and visualization easier than ever. Here’s what you’ll discover:➤ Clear, step-by-step explanations for key concepts➤ Practical, hands-on Python examples to bring data to life➤ Easy-to-follow progression from data basics to advanced model training➤ Powerful tools like Matplotlib and Seaborn for stunning visualizations➤ Real-world datasets and code to practice along the wayThis book is your guide to making sense of data, from cleaning and analyzing to visualizing and making data-driven decisions—all with Python! Get the eBook for $34.98 (originally $49.99) —master data analysis today!Order Today at $34.98$49.99Data Analysis for Business Decisions: A Laboratory ManualBy Mercury Learning and Information, Andres FortinoStep into the world of business analytics with this hands-on guide, designed to boost your statistical skills using Excel. Here's what you'll learn:➤ Practical case studies for real-world applications➤ How to clean, shape, and analyze data in Excel➤ Use Excel's Analysis ToolPak for powerful statistical insights➤ Master regression, forecasting, and A/B testing for better business decisionsThis book takes you from basics to advanced techniques, helping you make data-driven decisions with ease! Get the eBook now for $34.98 (originally $49.99) and boost your analytics skills!Order Today at $24.99$35.99Generative AI with Amazon Bedrock: Build, scale, and secure generative AI applications using Amazon BedrockBy Shikhar Kwatra, Bunny KaushikDiscover the power of generative AI with this hands-on guide to Amazon Bedrock. Designed for practical application, you'll learn how to tackle real-world business challenges. Key highlights include:➤ Expert foundations of Amazon Bedrock from AWS specialists➤ Techniques for building and scaling AI applications➤ Advanced tips for prompt engineering and secure frameworks➤ Real-world cases, from text generation to virtual assistants➤ Best practices for security, monitoring, and ethical AIMaster AI and drive innovation with confidence! Get the eBook now for just $24.99 (originally $35.99) and start mastering AI with Amazon Bedrock today!Order Today at $21.99$31.99Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databasesBy Alkin Tezuysal, Mr. Ibrar AhmedDive into the world of database design and modeling with this practical guide to PostgreSQL and MySQL. Whether you're a beginner or looking to enhance your skills, here's what you'll learn:➤ Master database design, from fundamentals to advanced concepts➤ Hands-on exercises for real-world application➤ Seamless integration with web apps and emerging database trends➤ Tips on optimizing, scaling, and managing databases effectivelyGet ready to build modern, scalable databases with confidence! Get the eBook now for just $21.99 (originally $31.99) and start mastering PostgreSQL and MySQL database design today!Order Today at $79.99Unleashing the Power of Data with Trusted AI: A guide for board members and executivesBy Wendy Turner-WilliamsFeeling overwhelmed by AI and data integration? This book, by a top digital transformation expert, simplifies it all.What you’ll gain:➤ Quick Decisions: Get actionable insights for faster, accurate choices.➤ AI Integration: Easily incorporate AI into your workflows.➤ Real-World Success: Learn from giants like Starbucks and Netflix.Why this book stands out:➤ Ethics and Compliance: Navigate AI’s ethical and regulatory challenges.➤ Boost Data Skills: Improve data quality and literacy.➤ Effective Strategies: Develop AI strategies that work.➤ Real-World Examples: See AI’s impact across industries.➤ Smarter Decisions: Use AI-driven insights for better decision-making.🚀 Boost Your AI Skills! Grab your eBook, "Unleashing the Power of Data with Trusted AI", for just $79.99. Get insights and success stories to transform your AI strategies. Buy now!📊 Data Viz Trends Shaping the Future of Insights➽ API for GraphQL in Microsoft Fabric: The blog explains how to share data from a Fabric warehouse using a GraphQL API. It details the benefits of GraphQL over REST APIs, including precise data extraction and efficient querying, and provides a guide to setting up the GraphQL API in Microsoft Fabric.➽ Using Containers to Avoid Installing SQL Server: This article details how to quickly set up SQL Server using Docker containers instead of a traditional installation. It covers installing Docker Desktop, configuring data directories, creating a `docker-compose` file, and testing the setup.➽ NumPy for Linear Algebra Applications: This article explores NumPy's capabilities for linear algebra, covering functions for matrix operations, such as multiplication, inversion, and decomposition. It provides practical examples for each function, showcasing their use in solving equations and data analysis.➽ Unlocking The Next-Gen Digital Analytics Solution, Powered by Snowplow and Snowflake on AWS: This post introduces the Next-Gen Digital Analytics solution on AWS, integrating Snowplow and Snowflake to enhance customer data analysis. It improves data quality, governance, and real-time insights, supporting AI adoption for better user engagement and business outcomes.➽ Announcing New Storage Integration Support in Snowflake Connector for Fabric Data Factory: Fabric Data Factory now supports Snowflake storage integration, enhancing data pipeline security by enabling secure connections with external storage providers. This feature simplifies data management, improves security, and offers fine-grained control over data flows.🔄 Real-World Transformation: How Gen BI Made Data Work➽ Next-Level Interactivity in AI/BI Dashboards withDatabricks: Databricks AI/BI Dashboards, unveiled at the Data and AI Summit, now feature enhanced interactivity with cross-filtering, static widget parameters, and improved performance. These updates enable dynamic data exploration, secure access, and faster analytics with minimal manual configuration.➽ Data Lakehouses: Shaping The Future Of Analytics And Machine Learning. The article highlights the data lakehouse architecture as a transformative approach in analytics and machine learning. Combining features of data lakes and warehouses, it offers scalable, cost-effective data management and advanced analytics capabilities, while addressing challenges of both systems.➽ Real world Use Cases: Forecasting Service Utilization Using Tabnet and Optuna ~by Hampus Gustavsson. The article explains using TabNet and Optuna for forecasting service utilization. It covers practical implementation of TabNet for predictive modeling, with Optuna optimizing hyperparameters. The focus is on real-world application and enhancing forecasting accuracy through these tools.➽ How to Design a Real-Time Streaming Platform with Azure? This blog explores designing a real-time data streaming platform using Microsoft Azure tools. It details how to utilize Azure Event Hub for data ingestion and Azure Stream Analytics for processing, aimed at creating a near real-time financial data pipeline and visualizations.➽ Publish and enrich real-time financial data feeds using Amazon MSK and Amazon Managed Service for Apache Flink: This article describes setting up a real-time financial data feed on AWS using Amazon MSK and Apache Flink. It explains how to enrich stock quotes with additional indicators, and deliver the data to customers via secure, low-latency streaming. ⚡ Quick Wins: BI Hacks for Instant Impact➽ Let Tableau Write Your SQL for You: This blog discusses the benefits of using Tableau’s dynamic SQL and relationships instead of custom SQL and joins. It highlights how relationships simplify data modeling by avoiding data explosion and improving performance, making dashboards more efficient and responsive.➽ Predictive Analytics and Business Intelligence: A Powerful Duo! This article explores the synergy between predictive analytics and business intelligence (BI). It emphasizes how BI provides historical insights while predictive analytics forecasts future trends, and how combining these tools can enhance forecasting, customer insights, operations, and risk management.➽ AtScale Launches New Natural Language Query Capabilities with Semantic Layer Integration: AtScale is introducing a private preview of its Natural Language Query (NQL) feature, allowing users to access data insights by asking questions in plain English. This advancement, combining Generative AI with AtScale’s Semantic Layer, simplifies data queries and improves decision-making accuracy.➽ Exploring data using AI chat at Domo with Amazon Bedrock: Domo is enhancing data insights with generative AI via its Domo.AI platform, powered by Amazon Bedrock. This allows users to query data using natural language, simplifying data analysis and visualization, and improving accessibility while addressing challenges like data quality and integration.➽ Data-Driven Customer Management Across Data Silos, Powered by PwC’s Customer Insights Engine on AWS: PwC Australia's Customer Insights Engine (CIE) on AWS provides a unified 360-degree view of customers by aggregating data from multiple sources. It uses machine learning and pre-built analytics to deliver personalized insights and enhance customer experiences efficiently.Forward to a Friend!🎤 Voices of BI: Lessons from Industry Experts➽ Scaling Numerical Data, Explained: A Visual Guide with Code Examples for Beginners ~ by Samy Baladram: This article explains data scaling in machine learning, comparing it to making large numbers more manageable for models. It covers various scaling techniques like normalization and Box-Cox transformation, demonstrating their impact on creating balanced, effective machine learning models.➽ How to Implement Graph RAG Using Knowledge Graphs and Vector Databases ~ by Steve Hedden: This article explores integrating knowledge graphs (KGs) with large language models (LLMs) using Retrieval-Augmented Generation (RAG). It highlights various methods like vector-based retrieval, prompt-to-query, and hybrid approaches, emphasizing how combining these techniques improves data retrieval and enhances LLM responses.➽ 5 Pillars for a Hyper-Optimized AI Workflow ~ by Gilad Rubin: This article explores the author's journey to find an elegant approach for structuring and developing AI & ML projects. It introduces five key pillars for creating a hyper-optimized AI workflow, focusing on metrics optimization, interactive development, production readiness, and modular code.➽ Azure Managed Instance Download and Restore SQL Server Backup: This article explains how Azure SQL Managed Instance (MI) supports both automated and manual backups. While Azure MI provides automatic backups, it also allows manual backups to Azure Blob Storage. It outlines the process for setting up these manual backups.Stay tuned for more—until next time!Copyright (C) 2024 Packt Publishing. All rights reserved.Our mailing address is:Packt Publishing Grosvenor House 11 St Paul's Square Birmingham, West Midlands B3 1RB United KingdomWant to change how you receive these emails?You canupdate your preferencesorunsubscribe*{box-sizing:border-box}body{margin:0;padding:0}a[x-apple-data-detectors]{color:inherit!important;text-decoration:inherit!important}#MessageViewBody a{color:inherit;text-decoration:none}p{line-height:inherit}.desktop_hide,.desktop_hide table{mso-hide:all;display:none;max-height:0;overflow:hidden}.image_block img+div{display:none}sub,sup{line-height:0;font-size:75%} @media (max-width: 100%;display:block}.mobile_hide{min-height:0;max-height:0;max-width: 100%;overflow:hidden;font-size:0}.desktop_hide,.desktop_hide table{display:table!important;max-height:none!important}} @media only screen and (max-width: 100%;} #pad-desktop {display: none !important;} }