Figuring Out Fabric: Learn Fabric in 30 minutes.

Eugene Meidinger
  • 5.0 (1)
  • 科技
  • 一周一更
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.

  1. Ep 13. Power BI, Your First Job, and the PL-300

    4天前

    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

    32 分钟
  2. Ep. 12 - Power BI, Data Viz, and Solving the Right Problem

    4月15日

    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. Links Stop SolutioneeringFinancial Intelligence for IT PeopleSolving the Right Problems by Kurt BuhlerDon't Make Me ThinkThe Pepsi Paradoxwww.datarocks.co.nz

    30 分钟

  3. 4月7日

    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. Links Statistical t-testStatistical r-correlationBase rate fallacyROC (statistical test)Roc (mythical bird)Why your AI abstract was rejectedAgainst Power BI dogma

    39 分钟
  4. Ep. 10: Fabric and Instructional Design

    3月31日

    Ep. 10: Fabric and Instructional Design

    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".  Links Scott Hanselman and AbstractionsHenry Forde never said anything about faster horsesBig data is deadJanuary 2025 update on RedditMayor uses deeply disturbing AI imagePower BI, AI, and EthicsDeepseek thinks it is ChatGPTKind and wicked learning environmentsBody DoublingParallel Play

    38 分钟
  5. Ep. 9 - Fabric in Government

    3月25日

    Ep. 9 - Fabric in Government

    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 Veteran's affairs hackPolice force hackFabric MirroringFabric Warehouse T-sql surface areaFreedom of Information Act

    35 分钟
  6. Ep 8. CI/CD in Fabric

    3月17日

    Ep 8. CI/CD in Fabric

    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 sync. PBIP file formatPBIR file formatDeployment PipelinesDevops PipelinesAutomating tests for broken visuals

    30 分钟

  7. 3月3日

    Ep. 7 - Semantic Link and Semantic Link Labs

    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 Semantic LinkSemantic Link LabsFabric.guru by Sandeep PawarFabric Notebook UtilsSemantic best practicesReport AnalyzerSNL Shimmer skitChatGPT to document measures

    29 分钟
  8. Ep 6. Scouting out Fabric

    2月24日

    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 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 Dynamics Great Plains schemaHow to Have Confidence and Power in Dealing with PeopleWhat is a thermoclineFabric surge protectionFabric capacity metrics appSatisfactory video gameWhat is Brownian MotionFundamentals of Microsoft FabricKansas City SQL User Group

    36 分钟
查看全部 13 集

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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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