Explicit Measures Podcast
Podcast autorstwa PowerBI.Tips
412 Odcinki
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412: Giving People Their Data - Subscriptions?
Opublikowany: 3.04.2025 -
411: Data Contracts & Microsoft Fabric
Opublikowany: 1.04.2025 -
410: Applying Agile Development in Power BI
Opublikowany: 27.03.2025 -
409: Mailbag! Selling a Google Shop Company Power BI
Opublikowany: 25.03.2025 -
408: The Fabric Toolbox Deep Dive
Opublikowany: 24.03.2025 -
407: Pie Charts Are Not The End Of The World
Opublikowany: 20.03.2025 -
406: If I was Arun Ulag; Spending $100 on Fabric
Opublikowany: 18.03.2025 -
405: Naming Conventions in Microsoft Fabric
Opublikowany: 18.03.2025 -
404: MAILBAG! Managing Multiple Datasets in Power BI
Opublikowany: 8.03.2025 -
403: Discussing Composite Models In Power BI (Again)
Opublikowany: 4.03.2025 -
402: Mailbag! Poor Data Culture & Citizen Developer
Opublikowany: 27.02.2025 -
401: SQL Databases in Fabric - What, When, How?
Opublikowany: 26.02.2025 -
400: (400!) - Fabric Decision Guide - Choose a Data Store
Opublikowany: 20.02.2025 -
399: Dataflows Gen 1 vs. Microsoft Fabric SQL
Opublikowany: 18.02.2025 -
398: When Are We Using Semantic Modeling in the Service?
Opublikowany: 15.02.2025 -
397: Semantic Link Labs & Updates
Opublikowany: 12.02.2025 -
395: Microsoft Fabric January 2025 Draft
Opublikowany: 11.02.2025 -
396: Macros or TMDL? Power BI's new Code vs. C# Scripting
Opublikowany: 7.02.2025 -
394: MAILBAG! Where Are All the Microsoft Job Listings?
Opublikowany: 30.01.2025 -
393: Unpacking the new Copilot Capacity in Microsoft Fabric
Opublikowany: 28.01.2025
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.
