412 Episoder

  1. 232: The Symbiotic Relationship Between Data Governance & Storytelling

    Udgivet: 13.7.2023
  2. 231: What is a Conceptual Data Model?

    Udgivet: 11.7.2023
  3. 230: Microsoft Fabric & Domain Roles - Who Owns What?

    Udgivet: 6.7.2023
  4. 229: Domain Roles & Power BI

    Udgivet: 4.7.2023
  5. 228: Power BI Teams & Source Control (Git) Integration

    Udgivet: 29.6.2023
  6. 227: Microsoft Fabric & OneLake - Data Governance & Adoption

    Udgivet: 27.6.2023
  7. 226: Fabric & Ensuring Separation of Capacities

    Udgivet: 22.6.2023
  8. 225: RIP Power BI Workspaces

    Udgivet: 20.6.2023
  9. 224: Decision Guide with Fabric - Warehouse or Lakehouse

    Udgivet: 15.6.2023
  10. 223: Decision Guide with Fabric - Data Ingestion

    Udgivet: 13.6.2023
  11. 222: Decision Guide with Fabric - Introduction

    Udgivet: 8.6.2023
  12. 221: OneLake & Direct Lake in Microsoft Fabric

    Udgivet: 6.6.2023
  13. 220: Git & Power BI

    Udgivet: 1.6.2023
  14. 219: Diving In With New Button Features in Power BI

    Udgivet: 30.5.2023
  15. 218: Hello Microsoft Fabric

    Udgivet: 25.5.2023
  16. 217: Reusing Power Query Functions & Queries

    Udgivet: 23.5.2023
  17. 216: Do Power BI Pro's Need to Know Python?

    Udgivet: 18.5.2023
  18. 215: Visual Enhancements - Title Divider & Subtitle in Power BI Visuals

    Udgivet: 16.5.2023
  19. 214: Collaboration in the Data Exploration Journey

    Udgivet: 11.5.2023
  20. 213: Special Edition! Modeling On the Web with Microsoft's Emily Lisa

    Udgivet: 10.5.2023

10 / 21

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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