412 Episoder

  1. 312: Abnormal Data Documentation

    Udgivet: 22.4.2024
  2. 311: Power Query Paginated & Folders

    Udgivet: 19.4.2024
  3. 310: Is It Too Much?

    Udgivet: 11.4.2024
  4. 309: AI, Fabric, and the Future of Consulting

    Udgivet: 9.4.2024
  5. 308: Fabric Updates & Security

    Udgivet: 9.4.2024
  6. 307: Implications of the Fabric Community Conference Announcements

    Udgivet: 2.4.2024
  7. 306: Let's Talk Power BI Templates

    Udgivet: 28.3.2024
  8. 305: Fabric Lakehouse or Data Warehouse?

    Udgivet: 27.3.2024
  9. 304: The Quality Problem

    Udgivet: 27.3.2024
  10. 303: External Sharing to Customers - Can It Be Simple?

    Udgivet: 20.3.2024
  11. 302: Internal Design - Success Requires Form & Function

    Udgivet: 14.3.2024
  12. 301: Self Service BI as a Two Edged Sword

    Udgivet: 12.3.2024
  13. 300: To 300, and Beyond!

    Udgivet: 7.3.2024
  14. 299: Why AI Isn't Going To Solve Going To Solve Your Data Culture Problems

    Udgivet: 5.3.2024
  15. 298: TMDL & The Future of Development

    Udgivet: 5.3.2024
  16. 297: Implementation Tuesdays Part 10 - Deploy, Validate, & Closing Thoughts

    Udgivet: 27.2.2024
  17. 296: Mailbag Rebuttal! Data Analysts vs. Data Visualization

    Udgivet: 26.2.2024
  18. 295 : Implementation Tuesday Part 9 - Pl Deployment, Proofing, and Validation

    Udgivet: 22.2.2024
  19. 294: Data Viz vs. Data Analytics

    Udgivet: 15.2.2024
  20. 293: Implementation Tuesdays Part 8 - Solutions Planning & Gathering Requirements

    Udgivet: 14.2.2024

6 / 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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