Figuring Out Fabric: Learn Fabric in 30 minutes.
Figuring Out Fabric: Learn Fabric in 30 minutes.
Podcast Description
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.
Podcast Insights
Content Themes
The podcast covers a variety of technical topics related to Microsoft Fabric, including discussions on data lakehouses versus warehouses, challenges of extracting data from legacy systems, medallion architecture, and different types of data movement. Episode examples include an analysis of the pros and cons of lakehouses and warehouses and insights into best practices for data migration and architecture, highlighting specific focus areas like networking and authentication.
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.
Sandeep Pawar talks about Python notebooks in Microsoft Fabric and why Power BI developers should learn them. We talk about semantic link as the entry point for Power BI developers into Python, and how notebooks open up solutions for orchestration, monitoring, and administration that are hard to do any other way. We also talk about PySpark, and why understanding Spark internals matters just as much as writing the code.
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