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.
Podcasting since 2025 • 15 episodes
Figuring Out Fabric: Learn Fabric in 30 minutes.
Latest Episodes
Ep. 15 - Fabric or Databricks
In this episode, Meagan Longoria talks about Databricks and helps us compare it to Fabric. The general conclusions is Databricks is still the mature tool, but Fabric is making improvements. In reality, there is space for a hybrid ap...
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Season 1
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Episode 15
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35:12
Ep. 14 Changing Data Culture
In this episode, Ewa Hutmacher talks about driving change and changing cultures in a organization. I think it’s fair to say that adjusting to Fabric and centralizing your data is a big organizational change. It was new to me to hear there are w...
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Season 1
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Episode 14
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40:13
Ep 13. Power BI, Your First Job, and the PL-300
In this episode, Evelyn talks about getting certified in the Tableau and Power BI. We talk a little a bit about how each is different. For her, BI was an ideal career because it was in the middle of her two passions: art and IT. We also discuss...
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Season 1
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Episode 13
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32:09
Ep. 12 - Power BI, Data Viz, and Solving the Right Problem
T. from Data Rocks talks about how data viz is a tiny subset of information design. The key is to focus less on just charts, but more about how the data is communicated and received. We talk about how what the user does with it separates a pile...
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Season 1
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Episode 12
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30:17
Ep. 11 - Data Science, Career Paths, Learning Fabric
In this episode, Steph Locke covers a wild career from data science consultant to startup owner to Microsoft manager. We talk about what’s required to work in data science. We also talk about the interaction of large language models and coding....
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38:39
