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
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 getting her first job and studying for the PL-300.
- Ggplot2
- Kind and Wicked learning environments (regarding delayed feedback)
- Column profiler
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 of charts from a successful design flow. I found this conversation helpful to understand it means to be good at data viz.
Links
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. Finally, we talk about adjusting to Power BI and Fabric.
Links
In this episode with Ellen Burns-Johnson, we talk about when we worked on a cloud game for Azure Synapse, ADF, Power BI. A big lesson learned from that is a big challenge today for Fabric is getting different teams and personas to communicate with each other; it's not just about the technology. Ellen's first impression is "it seems like Microsoft is trying to 'product away' the communication layer".
Li...
In this Episode Els Van Vessem talks about the challenges of implementing Fabric in the government. In it they talk about doing proof of concepts with Fabric and the limitations when your data is confidential, protected and on-premises. Data sovereignty often means sticking to a hybrid approach. We also discuss the challenges of similarly named products with slight differences.
Links
Apologies for the audio; I stupidly forgot to double check my mic this episode.
In this episode, Erin Dempster gives us an outside view of fabric focused on CI/CD. We talk about both deployment pipelines and devops pipelines and how she uses both tools in concert. This episode is interesting because it touches on the challenges of integrating a variety of data sources for an insurance company and using CI/Cd to keep everything in sy...
In this episode, Stephanie Bruno talks about semantic link and semantic link labs, which allow you to better manage your Power BI resources with Fabric notebooks. Semantic allows you to query and work directly with your semantic model. Semantic Link Labs allows you to automate running the best practices analyzer against your model. I've heard nothing but great things about it.
Links
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 Dynamics 365 is slightly different than every other data source and how everything is convoluted with Synapse. She also talks about how there are nuanced differences between a P1 and an F64.
Links
...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 analytics and real-time intelligence. The latter is not just reporting but being able to trigger activity based on it.
Links
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 fewer steps.
Links
- Lakehouse versus Warehouse decision guide
- Delta lake vacuum
- Polaris engine behind Fabric Warehouse
- Lakehouse versus Warehouse (Advancing Analytics)
- Fabric surge protection (previ...
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 or focuses on the marketing content, but it's much rarer to see content that deals with the difficult edge cases.
We talk about how despite being Software as a Service, in order to learn F...
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 of implementing medallion in Fabric. She also makes the point Medallion is not the same as Dev / QA / Prod. Lastly, we talk about source control and branching workspaces in Fabric.
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. Kristyna shares the "faucets first" approach at P3 adaptive.
Links
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