Figuring Out Fabric: Learn Fabric in 30 minutes.
Each week I’ll be interviewing experts and users alike on their experience with Fabric, warts and all. I can guarantee that we’ll have voices you aren’t used to and perspectives you won’t expect.
Each episode will be 30 minutes long with a single topic, so you can listen during your commute or while you exercise. Skip the topics you aren’t interested in. This will be a podcast that respects your time and your intelligence. No 2 hour BS sessions.
Episodes
31 episodes
Ep 6. Scouting out Fabric
In this episode, Krystina Mishra talks about being an accidental Fabric admin. She talks about the challenges of being part of a centralized IT team that operational and business teams. She talks about the challenges of how everything with Dyna...
Ep. 5 - Realtime Intelligence
In this Episode, Frank Geisler explains Realtime Intelligence in Microsoft Fabric. We learn how RTI is its own thing in Fabric and is not directly backed by Parquet like a Lakehouse is. We also dig into the distinction between real-time analyti...
Ep 4. Fabric Lakehouse versus Warehouse
In this episode, Ginger Grant talks about the differences between warehouse and lakehouses in Fabric. We talk about how Warehouses make more sense if you are doing a lot of ad-hoc querying. In most other cases, Lakehouse will be easier and fewe...
Ep 3. Extracting Data from Legacy Systems
In this episode, Kellyn Gorman talks about the challenges of getting data out of legacy systems (i.e. relational data bases) into Fabric. She explains that whoever hosts the data wins. She talks about often content talks about the golden path o...
Ep. 2 Medallion Architecture with Cathrine Wilhelmsen
Cathrine explains how there isn't a single solution for architecting your data lake with Microsoft Fabric. We walk through all the different moving pieces of getting started with Fabric and lakehouses. Catherine touches on some different ways o...
Ep 1. Data Movement with Kristyna Ferris
In this Episode, I interview Kristyna Ferris about the different types of data Movement in Microsoft Fabric. Specifically, we talk about gen 2 dataflows, data pipelines, and Spark notebooks. We see how you start simple and work your way up. Kri...
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