ChatGPT 5 just dropped and guess what? 300 million jobs became obsolete overnight.

While companies are panic-firing entire departments, a small group of AI-skilled professionals are charging $10K/month as consultants to automate those same jobs.

The difference? They know the frameworks, workflows, and monetization strategies that 99% of people don't.

Join Outskill's 16-Hour AI Sprint this weekend (usually for $895) and become the AI expert companies are desperately hiring – not firing. Register now for free

Date: Saturday and Sunday, 10 AM - 7 PM.

Rated 9.8/10 by trustpilot– an opportunity that makes you an AI Generalist that can build, solve & work on anything with AI.

In just 16 hours & 5 sessions, you will:

✅ Build AI Agents and custom bots that handle your repetitive work and free up 20+ hours weekly
✅ Learn how AI really works by learning 10+ AI tools, LLM models and their practical use cases.
✅ Learn to build websites and ship products faster, in days instead of months
✅ Create professional images and videos for your business, social media, and marketing campaigns.
✅ Turn these AI skills into10$k income by consulting or starting your own AI services business.

Learn million $ insights used by biggest giants like google, amazon, microsoft from their practitioners 🚀🔥

Unlock bonuses worth $5100 in 2 days!
🔒day 1:3000+ Prompt Bible
🔒day 2: Roadmap to make $10K/month with AI
🎁Additional bonus: Your Personal AI Toolkit Builder

Sponsored

Subscribe|Submit a tip|Advertise with Us

Welcome to BIPro 110 ~ where data meets innovation.

This issue spans the latest in AI-powered analytics, database modernization, and real-time intelligence. You’ll see how SQL dashboards, agentic AI accuracy frameworks, and Tableau Pulse upgrades are shaping smarter insights, while prompt-based ETL, zero-ETL pipelines, custom GPT SQL Expertand BigQuery migrations are redefining data operations. Add in breakthroughs like regex support in SQL Server 2025, low-latency processing with EMR, and healthcare’s generative AI transformation, and you’ve got a full view of where BI is headed next.

Here’s your guide to what’s moving the industry forward, let’s dive in.

Cheers,

Merlyn Shelley

Growth Lead, Packt

🔲 Building a Database Dashboard with SSRS: If you want to keep track of your SQL Server environment effortlessly, build a database dashboard. This blog shows you how to set up stored procedures, linked servers, and SSRS to collect server details, authentication, clustering, databases, and job stats. The result: a clear, real-time dashboard that transforms raw SQL metrics into actionable monitoring insights.

🔲 Ensuring AI Accuracy in Agentic Analytics: AI is reshaping analytics by making complex tasks easier and insights more accessible. This blog outlines Tableau’s framework for validating agentic AI systems, defining accuracy as factuality plus relevance, leveraging human, AI, and program judging, and following a four-step process (benchmark, breadth, interpret, optimize) to deliver trusted, personalized, and reliable analytical results.

🔲 Top New Tableau Pulse Feature Releases to Know: Tableau Pulse is evolving fast, delivering smarter, contextual insights directly in the flow of work. This blog highlights the newest releases, from cross-metric analysis and threshold tracking to enhanced Q&A with filtering, multilingual support, and mobile-first controls. These features make data more accessible, actionable, and personalized for every user across your organization.

🔲 How to create your custom GPT SQL Expert: Learn how to build your own custom GPT SQL Expert with ChatGPT’s paid plans. This guide covers configuring a custom GPT, adding a logo with DALL·E, naming and describing the assistant, writing detailed instructions, creating conversation starters, and uploading knowledge files, so you can deliver expert SQL Server support tailored to your needs.

🔲 Prompt-Based ETL: Automating SQL Generation. Prompt-based ETL is transforming data pipelines by letting large language models turn plain English into schema-aware, validated SQL. This blog explains how LLM-driven automation accelerates development, reduces errors, and bridges business users with engineers. Covering workflow, validation, and best practices, it shows how prompt-first ETL enables scalable, self-serve analytics and faster, more reliable insights.

🔲 Real-Time Analytics Using Zero-ETL for MySQL: Discover how to set up real-time analytics with zero-ETL by integrating Amazon RDS for MySQL with Amazon Redshift using AWS CLI. This tutorial walks through prerequisites, creating parameter groups, configuring RDS and Redshift clusters, setting authorization policies, and building a zero-ETL integration, removing complex pipelines and enabling immediate, actionable insights.

🔲 Split strings by Regular Expressions in SQL Server 2025: Explore how SQL Server 2025 introduces native regex support with the new REGEXP_SPLIT_TO_TABLE function. This blog demonstrates splitting strings by multiple delimiters, whitespace, or non-alphanumeric characters, capabilities that go beyond STRING_SPLIT. It also covers wrapper functions, limitations like lack of lookaheads, and why this long-awaited feature is a powerful step forward for parsing in SQL Server.

🔲 Achieve low-latency data processing with Amazon EMR on AWS Local Zones: Check how enterprises can achieve single-digit millisecond data processing by deploying Amazon EMR on AWS Local Zones. This blog demonstrates building a Secure Web Gateway with EMR and Apache Flink to process network traffic in real time, covering setup, scaling, performance tuning, and security. Ideal for latency-sensitive workloads like fraud detection, IoT, and AR.

🔲 Modernizing healthcare data platforms for generative AI : Find out how healthcare organizations can modernize data platforms to enable generative AI in diagnostics, treatment, and patient care. This blog covers prerequisites like governance and infrastructure assessments, highlights AWS services including HealthLake, SageMaker, and Bedrock, and showcases Innovaccer’s transformation, cutting costs, improving performance, and driving large-scale AI-powered healthcare innovation.

🔲 How Data Is Powering Real-Time Intelligence in Health Systems: Here’s how real-time intelligence is transforming healthcare: integrated EHRs, predictive analytics, and machine learning enable proactive care; telehealth and remote monitoring expand access; and population health strategies address community needs. The article also stresses data security and privacy as essential foundations for trusted, cost-effective, patient-centered outcomes.

🔲 Database Center expands coverage: This blog is about new Database Center capabilities for monitoring databases on Google Compute Engine. It introduces support for self-managed MySQL, PostgreSQL, and SQL Server, along with enhanced security checks, custom alerts for new resources and issues, Gemini-powered folder-level chat, and extended 30-day historical comparisons, helping organizations improve visibility, compliance, and operational efficiency across their database fleets.

🔲 Deutsche Telekom goes from PySpark to BigQuery DataFrames: This blog is about Deutsche Telekom’s migration of Customer Lifetime Value (CLV) modeling from on-premises systems to Google Cloud BigQuery. It explains why legacy data lakes created bottlenecks, how BigQuery DataFrames and Gemini-assisted code conversion streamlined migration, and how the two-phase strategy delivered scalability, faster insights, stronger security, and improved customer experience.

See you next time!

Sponsored