412 Episoder

  1. 412: Giving People Their Data - Subscriptions?

    Udgivet: 3.4.2025
  2. 411: Data Contracts & Microsoft Fabric

    Udgivet: 1.4.2025
  3. 410: Applying Agile Development in Power BI

    Udgivet: 27.3.2025
  4. 409: Mailbag! Selling a Google Shop Company Power BI

    Udgivet: 25.3.2025
  5. 408: The Fabric Toolbox Deep Dive

    Udgivet: 24.3.2025
  6. 407: Pie Charts Are Not The End Of The World

    Udgivet: 20.3.2025
  7. 406: If I was Arun Ulag; Spending $100 on Fabric

    Udgivet: 18.3.2025
  8. 405: Naming Conventions in Microsoft Fabric

    Udgivet: 18.3.2025
  9. 404: MAILBAG! Managing Multiple Datasets in Power BI

    Udgivet: 8.3.2025
  10. 403: Discussing Composite Models In Power BI (Again)

    Udgivet: 4.3.2025
  11. 402: Mailbag! Poor Data Culture & Citizen Developer

    Udgivet: 27.2.2025
  12. 401: SQL Databases in Fabric - What, When, How?

    Udgivet: 26.2.2025
  13. 400: (400!) - Fabric Decision Guide - Choose a Data Store

    Udgivet: 20.2.2025
  14. 399: Dataflows Gen 1 vs. Microsoft Fabric SQL

    Udgivet: 18.2.2025
  15. 398: When Are We Using Semantic Modeling in the Service?

    Udgivet: 15.2.2025
  16. 397: Semantic Link Labs & Updates

    Udgivet: 12.2.2025
  17. 395: Microsoft Fabric January 2025 Draft

    Udgivet: 11.2.2025
  18. 396: Macros or TMDL? Power BI's new Code vs. C# Scripting

    Udgivet: 7.2.2025
  19. 394: MAILBAG! Where Are All the Microsoft Job Listings?

    Udgivet: 30.1.2025
  20. 393: Unpacking the new Copilot Capacity in Microsoft Fabric

    Udgivet: 28.1.2025

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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.

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