Explicit Measures Podcast

A podcast by PowerBI.Tips

Categories:

311 Episodes

  1. 311: Power Query Paginated & Folders

    Published: 4/19/2024
  2. 310: Is It Too Much?

    Published: 4/11/2024
  3. 309: AI, Fabric, and the Future of Consulting

    Published: 4/9/2024
  4. 308: Fabric Updates & Security

    Published: 4/9/2024
  5. 307: Implications of the Fabric Community Conference Announcements

    Published: 4/2/2024
  6. 306: Let's Talk Power BI Templates

    Published: 3/28/2024
  7. 305: Fabric Lakehouse or Data Warehouse?

    Published: 3/27/2024
  8. 304: The Quality Problem

    Published: 3/27/2024
  9. 303: External Sharing to Customers - Can It Be Simple?

    Published: 3/20/2024
  10. 302: Internal Design - Success Requires Form & Function

    Published: 3/14/2024
  11. 301: Self Service BI as a Two Edged Sword

    Published: 3/12/2024
  12. 300: To 300, and Beyond!

    Published: 3/7/2024
  13. 299: Why AI Isn't Going To Solve Going To Solve Your Data Culture Problems

    Published: 3/5/2024
  14. 298: TMDL & The Future of Development

    Published: 3/5/2024
  15. 297: Implementation Tuesdays Part 10 - Deploy, Validate, & Closing Thoughts

    Published: 2/27/2024
  16. 296: Mailbag Rebuttal! Data Analysts vs. Data Visualization

    Published: 2/26/2024
  17. 295 : Implementation Tuesday Part 9 - Pl Deployment, Proofing, and Validation

    Published: 2/22/2024
  18. 294: Data Viz vs. Data Analytics

    Published: 2/15/2024
  19. 293: Implementation Tuesdays Part 8 - Solutions Planning & Gathering Requirements

    Published: 2/14/2024
  20. 292: Why One Person Can't do Everything in Data

    Published: 2/8/2024

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Hosted by Mike Carlo, Seth Bauer, 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.