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 approach and if you have to start somewhere with Fabric, it likely makes sense to start with Power BI and work your way back, where this value. We also talk about how the way Fabric is structured can sometimes lead to messy workspaces.LinksItems limitations in workspacesConway's law (you ship your org chart)Fabric Guidance for Small Businesses (from Eugene)Fabric mirroring for Azure DatabricksSemantic model refresh activity
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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 ways to track and monitor organizational change.Crucial ConversationsMedallion architectureRussian nail factoryPerverse incentivesWho Moved My Cheese?“We need this report in Power BI”
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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 getting her first job and studying for the PL-300.Ggplot2Kind and Wicked learning environments (regarding delayed feedback)Column profiler
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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 of charts from a successful design flow. I found this conversation helpful to understand it means to be good at data viz.LinksStop SolutioneeringFinancial Intelligence for IT PeopleSolving the Right Problems by Kurt BuhlerDon't Make Me ThinkThe Pepsi Paradoxwww.datarocks.co.nz
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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. Finally, we talk about adjusting to Power BI and Fabric.LinksStatistical t-testStatistical r-correlationBase rate fallacyROC (statistical test)Roc (mythical bird)Why your AI abstract was rejectedAgainst Power BI dogma
Over 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.
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