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7 posts

Data Agents and Semantic Models – Ep. 466

October 10, 2025

Data Agents and Semantic Models – Ep. 466

Mike and Tommy explore the intersection of Data Agents and semantic models—how well-built models become the foundation for AI-powered data experiences, and what best practices look like for configuring agents that actually deliver useful answers.

User Defined Functions in DAX – Ep. 463

October 1, 2025

User Defined Functions in DAX – Ep. 463

Mike and Tommy take a deep dive into DAX User Defined Functions—one of the biggest additions to the DAX language in years. They discuss the potential impact on model development, code reuse, and the emerging DAX library ecosystem.

Calculation Groups in Practice – Ep. 452

August 22, 2025

Calculation Groups in Practice – Ep. 452

Mike and Tommy explore calculation groups in practice—one of DAX's most powerful features for reducing measure proliferation and creating dynamic calculation patterns. They reference SQLBI's deep dives and Bernat's practical blog posts.

AI Is Now Ready – SQLBI – Ep. 446

August 1, 2025

AI Is Now Ready – SQLBI – Ep. 446

Mike and Tommy discuss SQLBI's bold claim that AI in Power BI is ready to pay attention to—driven by MCP servers that let AI agents query and control Power BI. Plus the Fabric July 2025 feature summary.

Tools in Power BI – Ep. 423

May 14, 2025

Tools in Power BI – Ep. 423

Mike and Tommy dive into the rich ecosystem of third-party and first-party tools that help Power BI developers build, test, deploy, and optimize their models and reports. From SQLBI's comprehensive overview to hands-on favorites, this episode is a toolbox tour for every Power BI practitioner.

Filter Context Explained – Ep. 378

December 6, 2024

Filter Context Explained – Ep. 378

Mike, Tommy, and Seth break down filter context in DAX—what it is, how it’s created, and why it’s the root of so many ‘my measure is wrong’ moments. They walk through practical mental models for reading a visual’s filters and using CALCULATE intentionally, so you can predict results instead of trial-and-error debugging.

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