412 Episodes

  1. 392: MAILBAG! Is Fabric Too Complex or Is it Too Simple?

    Published: 1/23/2025
  2. 391: MAILBAG! Only the Bronze Layer?

    Published: 1/21/2025
  3. 390: January 2025 Desktop Draft!

    Published: 1/16/2025
  4. 389: Azure AI Foundry & Microsoft Fabric

    Published: 1/14/2025
  5. 388: Microsoft Fabric SQL Databases... Now What?

    Published: 1/9/2025
  6. 387: Power BI Core Visuals Revisited

    Published: 1/9/2025
  7. 386: Metric Sets & Impact

    Published: 1/2/2025
  8. 385: Excel Migrations to Power BI are the Worst, and Goodbyes to Seth

    Published: 1/1/2025
  9. 384: Organizational Apps & Power BI

    Published: 12/26/2024
  10. 383: Our Microsoft Fabric Secret Santa

    Published: 12/24/2024
  11. 382: Microsoft Fabric OneLake Catalog & Governance

    Published: 12/19/2024
  12. 381: The Rise of the Microsoft Fabric Notebook Engineer

    Published: 12/17/2024
  13. 380: MAILBAG! Enhancing Power BI Reports - Non-User Commmentary

    Published: 12/17/2024
  14. 379: MAILBAG! "Knowing Data" vs. Knowing The Data - Key Insights for a Career in Data

    Published: 12/10/2024
  15. 378: Filter Context Explained

    Published: 12/5/2024
  16. 377: Power BI Core Visual Updates & The Future of Visuals

    Published: 12/3/2024
  17. 376: Citizen Developers & Power BI as a Dev Tool

    Published: 11/28/2024
  18. 375: MAILBAG! More Datamarts & Citizen Developers

    Published: 11/26/2024
  19. 374: The Power of a Good Agenda

    Published: 11/21/2024
  20. 373: Domain Leaders & Roles

    Published: 11/19/2024

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Hosted by Mike Carlo, and Tommy Puglia, the Explicit Measures Podcast is a Power BI focused show that is like being around a Power BI Pro’s Water Cooler. With so many available resources in the community that focuses on the “how” in Power BI (how to do Drill Through, how to use DAX, etc.,), the Explicit Measures Podcast is all around the WHY. Why use a particular feature, does it make sense for my users? Build the toolset, learn the how, and then come to the Podcast to the listen to the why in situations we all experience as Power BI Pros.