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Welcome 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 Shelley

Growth Lead, Packt

Tableau Cookbook for Experienced Professionals
Now available for pre-order | Shipping April 25, 2025

The Tableau Plateau: Why So Many Get Stuck

At 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 wall

It’s not that Tableau can’t do it.
It’s that you’ve outgrown the basics.

🔧 What Got You Here Won’t Get You There

That’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 University

They’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 Make

Performance

Go 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 tools

Interactivity

Stop 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 tooltips

Governance

Master 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 Action

A 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 Unlock

Hands-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 purchase

⭕ 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.

⭕ 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.

⭕ 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.

⭕ 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.

⭕ 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.