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37 posts
August 4, 2026
Austin asks whether a hub-and-spoke composite model pattern is the right structure. Mike and Tommy say the shape is defensible but they'd reach for master-and-mini models instead — and that every composite model needs a data contract, change control, and git-backed monitoring.
July 30, 2026
Microsoft is a Leader in the 2026 Gartner Magic Quadrant for Analytics and BI — first on execution, fourth on vision. Mike and Tommy read the strengths and cautions closely, and land on why "throw AI at your data and ask it questions" is the wrong story.
July 28, 2026
A listener watches junior staff prompt their way to DAX they don't understand, and asks how to train them. Mike and Tommy name the three fundamentals they'd require before handing over agentic tooling — and argue the senior's real job is now building the agent that teaches everyone else.
July 21, 2026
Mike is deleting paid subscriptions and rebuilding them as Fabric apps; Tommy wants to know who maintains all this and whether enterprise security teams will ever allow it. Plus the licensing discovery of the episode — agents talking to semantic models over XMLA with no Power BI Pro license required.
July 2, 2026
A mailbag question about 30-60-90 day AI plans turns into an honest accounting of why organizations are stuck: IT doesn't know what an agent is, nobody has bought into the value yet, and there is essentially no training. Mike and Tommy separate AI strategy from AI theater and each give a real 30-60-90.
June 25, 2026
Part two picks up at the skills and validation layers of Anthropic's analytics stack, and Tommy arrives at a hot take he'll defend: no agentic solution on your Fabric data until governance is in place. Along the way — why perspectives are Power BI's most untapped feature and why Microsoft needs skills for models.
June 23, 2026
Anthropic published how they run self-service analytics internally, and the answer starts with dimensional modeling and a semantic layer — not with the agent. Mike and Tommy read it as validation that everything Power BI professionals already do well is now the thing that makes AI work at all.
June 16, 2026
If agents write the DAX and the Python, the job shifts from producing code to vetting it — and that makes you a professional reviewer. Mike and Tommy work through what still has to be in your head to review well, and the uncomfortable question of how juniors become seniors when the MCP server is doing the junior's job.
June 11, 2026
Rayfin lets you build full applications on top of Fabric, and Mike calls it the biggest Microsoft release since Power BI Desktop. This episode covers what Rayfin actually is, why the semantic model matters more than ever, and the handoff problem nobody on your team has solved yet.
June 10, 2026
Mike and Tommy recap Microsoft Build 2026 through a Power BI and Fabric lens, focusing on the announcements that matter most for report builders, semantic models, and agent-driven app development. They unpack why Rayfin, Replit integration, OneLake, and new Fabric skills signal a shift from asking AI for answers toward using agents to create real production artifacts.
June 3, 2026
Mike and Tommy explore how Claude Design, agentic workflows, and HTML wireframes could reshape report prototyping for Power BI teams. They also debate where today’s tooling still falls short, especially for Power BI Desktop users who need practical ways to turn context, design ideas, and embedded experiences into working reports.
May 29, 2026
Mike and Tommy break down the habits, tools, and modeling decisions that help Power BI developers move faster without creating more technical debt. You’ll learn practical ways to speed up report design, organize semantic models, and prototype more effectively so teams can ship better work with less rework.
May 20, 2026
AI can strengthen a Center of Excellence, but only when it is applied to clear business goals, known pain points, and a defined maturity baseline. Mike and Tommy explain where AI can genuinely reduce friction, where it creates noise, and how teams can prove it is making the COE better rather than just bigger.
May 13, 2026
Mike and Tommy explore what ‘semantic layer genies’ and data agents could mean for Fabric and Power BI teams, from metadata-driven modeling to assisted development workflows. They break down where agents help today, what needs governance, and how to stay practical as the hype accelerates.
March 6, 2026
Mike and Tommy break down what it really means to start a Fabric implementation the right way, from setting expectations early to choosing practical first moves that won't box teams in later. They also cover a coming permissions change for Fabric data agents that makes semantic models easier for more people to use.
February 25, 2026
Mike and Tommy debate the implications of AI on app development and data platforms, then tackle a mailbag question on whether field parameters hinder Excel compatibility in semantic models. They explore building AI-ready models and the future of report design beyond Power BI-specific features.
January 16, 2026
Mike and Tommy unpack Model Context Protocol (MCP) servers for Power BI and Fabric — what they are, how to use them, and whether organizations should be turning them on today. Plus, a deep dive on what makes AI agents actually useful versus just impressive.
January 14, 2026
Mike and Tommy kick off 2026 asking the big question: will AI drive Fabric's success? They share their real AI toolkits, debate the future of consulting in an agent-powered world, and brainstorm how Claude Code and agent skills could transform their daily workflows.
January 9, 2026
Mike and Tommy hand out their completely made-up Fabric Awards for 2025 — from 'Most Likely to Be Disabled by IT' to 'This Is Why We Can't Have Nice Things.' Plus, Marco Russo confirms what they've been saying all along: notebooks win.
December 10, 2025
Mike and Tommy break down what it means to model semantic models directly in the Power BI service—why it’s a big deal for Mac users, collaboration, and faster iteration. They also highlight version history as a safety net for live edits and discuss how the web experience changes the modeling workflow.
December 3, 2025
Mike and Tommy reflect on rebuilding data environments using lessons learned—why semantic models and shared definitions matter more than ever as teams scale. They connect the dots between metric stores, governance, and the push toward a unified semantic layer in Fabric and Power BI.
November 14, 2025
Mike and Tommy explore the concept of a 'semantic bridge'—connecting semantic layers across platforms like Power BI, Databricks, Snowflake, and dbt. They compare approaches to semantic modeling across the industry and discuss what it means for cross-platform analytics.
November 6, 2025
Mike Carlo and Pragati walk through everything you need to know to level up from PL-300 to DP-600 — from lakehouses and pipelines to semantic model optimization and security in Microsoft Fabric.
October 10, 2025
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.
September 19, 2025
Mike and Tommy compare composite models and reusable datasets—two approaches to sharing and extending semantic models across teams. They also react to Translytical Task Flows from listener feedback in their 'Beat from the Street' segment.
August 22, 2025
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.
August 20, 2025
Mike and Tommy discuss the evolving role of SQL in Fabric—what's new and coming soon in the SQL analytics endpoint, connecting Fabric SQL to Desktop, and whether SQL is gaining or losing ground in the modern data stack.
May 30, 2025
Mike and Tommy break down what Copilot Standalone for Power BI is and why it changes the consumer experience for chat-with-your-data. Then they role-play a realistic rollout plan—starting with real problems, measurable wins, and AI-ready semantic models instead of a blanket mandate.
May 20, 2025
Mike and Tommy debate whether the Power BI and Fabric ecosystem is still truly self-service or quietly drifting back toward corporate BI, exploring semantic model-to-lakehouse sync, data contracts, managed self-service, and where the line between central IT and business users really falls.
April 11, 2025
Mike and Tommy break down the biggest DAX and semantic model announcements from FabCon 2025. From Direct Lake improvements to DAX calendars and user-defined functions, this episode covers what matters most for Power BI practitioners.
March 7, 2025
Mike and Tommy tackle a mailbag question from Mehmet about best practices for managing multiple datasets in Power BI. They dive into whether composite models are the right approach for joining data across models.
February 14, 2025
Mike and Tommy dig into what it means for Power BI semantic models to move ‘onto the web’, from editing models directly in the service to live editing Direct Lake models from Desktop. They also connect the dots on governance, versioning, and cost—so you can adopt the new workflows without breaking your production reporting.
March 1, 2024
TMDL is a promising step toward real source control for Power BI semantic models—human-readable files you can diff, review, and deploy. In Episode 298, Mike, Tommy, and Seth unpack what’s changing in Desktop and how Copilot can speed up measure documentation.
February 2, 2024
It's mailbag time. In Ep. 290, Mike, Tommy, and Seth answer listener questions on adopting Power BI in a Google/BigQuery environment, surviving terminology changes like 'dataset' to 'semantic model', and balancing process vs. technology as tools evolve.
December 15, 2023
Ep. 276 unpacks Explore (public preview) in the Power BI service—how it helps users slice a semantic model fast, where it overlaps existing features, and what governance needs to be in place for it to scale.
November 29, 2023
Can Tableau plug into Power BI/Fabric semantic models? Yes—but Ep. 271 explains the real tradeoffs: XMLA/SQL endpoints, licensing/capacity cost, and when a shared semantic layer is a migration bridge vs. an operational burden.
May 11, 2023
Ep. 213 is a deep dive into Power BI’s new ability to edit semantic models in the Service—when web-based changes make sense, how they interact with Desktop workflows, and what teams should do now to keep governance and version history intact.