412 Episodio

  1. 252: Data Strategist & Data Roles

    Pubblicato: 21/09/2023

  2. 251: Where Should we Use AI With BI?

    Pubblicato: 19/09/2023

  3. 250: How Much Data In a Fabric Lakehouse?

    Pubblicato: 14/09/2023

  4. 249: Jevon's Paradox & The Demand for Insights

    Pubblicato: 12/09/2023

  5. 248: Do We Design Workspaces Differently with Fabric?

    Pubblicato: 07/09/2023

  6. 247: Working In Data Is Hard

    Pubblicato: 07/09/2023

  7. 246: Knowledge, Wisdom, & Understanding

    Pubblicato: 31/08/2023

  8. 245: MAILBAG: Migrating from Laptop to Cloud

    Pubblicato: 29/08/2023

  9. 244: Companies are Failing to Be Data Driven

    Pubblicato: 24/08/2023

  10. 243: $100 To Invest In Microsoft Fabric?

    Pubblicato: 22/08/2023

  11. 242: Thinking Outside the (Power BI) Box

    Pubblicato: 17/08/2023

  12. 241: Solving Data Problems With Business Problems

    Pubblicato: 15/08/2023

  13. 240: Raising Awareness to What Power BI Can Do

    Pubblicato: 10/08/2023

  14. 239: Contextualized Insights In Power BI

    Pubblicato: 08/08/2023

  15. 238: The Essentiality of Tooltips in Power BI

    Pubblicato: 03/08/2023

  16. 237: A Data Storytellers Guide To Avoid Clutter

    Pubblicato: 01/08/2023

  17. 236: Move From SQL to Fabric OneLake?

    Pubblicato: 27/07/2023

  18. 235: The Root of All Problems Is Analytics

    Pubblicato: 25/07/2023

  19. 234: The Perfect Data Analyst

    Pubblicato: 20/07/2023

  20. 233: Mailbag! How Much Detail in a Power BI Report?

    Pubblicato: 18/07/2023

9 / 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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