MVPs demo Microsoft Fabric

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  • Опубликовано: 28 май 2024
  • Welcome to the very first episode of the Microsoft Fabric MVP video series!
    Ryan is joined by Shabnam Watson, Kevin Arnold, Andy Cutler, and Rishi Sapra running us through how to execute a project in Fabric, top to bottom.
    Meet the MVPs:
    Shabnam Watson
    ShabnamWatson.com/
    / shbwatson
    / shabnamwatson
    Kevin Arnold
    / kevarnold
    / kevarnold
    Andy Cutler
    MrAndyCutler
    / andycutler
    Rishi Sapra
    / rsaprano
    / rsaprano
    www.rishisapra.com
    www.Learndatainsights.com (also www.microsoftfabrictraining.com)
    Www.powerplatformfinance.com

Комментарии • 21

  • @gpltaylor
    @gpltaylor 22 часа назад

    I like this style of demo breakdown where we're not treated like morons :) We can all read the microsoft learn website. Here we dig into each section. From this along I feel I am able to get work done. Thank you

  • @farhanahmedsyed
    @farhanahmedsyed Месяц назад

    nice, this size video is best

  • @marianovelez3879
    @marianovelez3879 3 месяца назад

    Amazing video, thank you very much team!!!!

  • @mwaltercpa
    @mwaltercpa 10 месяцев назад

    There is so much gold here for me to learn from. Thank you all!

  • @aeimei
    @aeimei 10 месяцев назад +1

    Very good video.

  • @NISHILJAIN
    @NISHILJAIN 10 месяцев назад +2

    Great video. It clearly shows the different layers of data lakehouse implementation. Can you also have a video on deployment pipelines with Fabric components to deploy from dev environment to Stg/Production environments?

    • @philnoakes1
      @philnoakes1 9 месяцев назад

      I agree. Several questions here revolve around devops concepts in addition to ad-hoc ingestion and analysis. I think a video around source control, code deployment and environment setup would be very nice to see. Great video!

  • @aakshhay
    @aakshhay 9 месяцев назад +1

    Great video , thanks. Can you please share from where the sample data is taken, especially the dates.csv

  • @ricardoabella867
    @ricardoabella867 8 месяцев назад

    Great video long videos with detail will help me start using ms fabric and lakehouse

  • @milostrpkovic1396
    @milostrpkovic1396 9 месяцев назад +1

    cool video, tnx :)

  • @henniedenooijer4348
    @henniedenooijer4348 10 месяцев назад

    Great vid! Learned a bit more fabric. I enjoyed it.

  • @ifeanyindukwe3086
    @ifeanyindukwe3086 9 месяцев назад +1

    Great video! Can a pipeline be created to run different notebooks on different workspaces?

  • @malasrip
    @malasrip 9 месяцев назад

    Great video! A suggestion for the follow up video would be creating the pipelines to run daily and how that shows on OneLake. Thanks again!

  • @germanareta7267
    @germanareta7267 10 месяцев назад

    Great video. Thanks.

  • @marvhan888
    @marvhan888 4 месяца назад

    great videos

  • @rohitwattamwar1
    @rohitwattamwar1 10 месяцев назад

    Great video Ryan,
    I want to ask that, if a new column need to be added at Power BI dataset level, in above example, is it possible? If yes, then still the model will be in Direct Lake mode? If No, what is the ideal place to add the extra column.

  • @DanielWeikert
    @DanielWeikert 10 месяцев назад

    could you show a deep dive into ML Model tracking with ML flow and the model deployment? The videos released so far do not cover that in detail. Thanks

  • @scottpowell408
    @scottpowell408 10 месяцев назад

    Hi, would it be possible to make the various notebooks used available to download so we can follow along ourselves?

  • @shaikhzahid7190
    @shaikhzahid7190 10 месяцев назад

    @ryan Can you show us how to create and manage ML models on Azure Databricks

  • @pradeepvatumilli
    @pradeepvatumilli 9 месяцев назад

    I’m ok with longer video.

  • @user-oy8jd2ev9v
    @user-oy8jd2ev9v 10 месяцев назад

    Hi, nice video. One question here: In ruclips.net/video/7AHZEZRweac/видео.html it says data flows gen 2 is running on spark in Fabric. Is this correct? I thought it is running on Powerquery (?)