ETL with Power BI Dataflows

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  • เผยแพร่เมื่อ 31 ธ.ค. 2024

ความคิดเห็น • 21

  • @vanenkhuizen
    @vanenkhuizen ปีที่แล้ว

    Thanks for sharing. Great presentation.

  • @kebincui
    @kebincui 4 หลายเดือนก่อน +1

    Great video. 👍

  • @mrbronstein
    @mrbronstein 5 ปีที่แล้ว +2

    This is the best presentation on PBI dataflows that I have seen. Well done.

  • @danielom899
    @danielom899 5 ปีที่แล้ว +2

    Very well explained and in a pace everyone can follow. Really like it!

  • @mrbronstein
    @mrbronstein 5 ปีที่แล้ว +2

    Slides are here if anyone is wondering blog.pragmaticworks.com/hubfs/PowerBI_Dataflows_20190115_JoeAbbott.pptx

  • @terryliu3635
    @terryliu3635 4 ปีที่แล้ว +1

    Great presentation, thank you!

  • @SeanKH19
    @SeanKH19 5 ปีที่แล้ว +4

    You can just do all your transformations in Power Query editor desktop then copy and paste the M into power query online.

    • @SamuelRoshan
      @SamuelRoshan 5 ปีที่แล้ว +1

      Yes you can. Infact there is feature request to do exactly this. Export Desktop M Queries to Dataflow :)

  • @abhisoulstormer
    @abhisoulstormer 6 ปีที่แล้ว +1

    Really good training! and will definitely ask my admin which flavor donuts he likes :D

  • @yoshihirokawabataify
    @yoshihirokawabataify 6 ปีที่แล้ว +2

    Nice webinar for Power BI dataflows, thank you
    Q. Which storage mode of Power BI dataflows on Power BI Desktop? Import, DirectQuery, or Dual? 😄😄😄

    • @PragmaticWorks
      @PragmaticWorks  6 ปีที่แล้ว +1

      Dataflows currently uses the Import method. When you connect to Dataflows from within Power BI Desktop you don’t get the option like with other sources, but I did find a an idea that is requesting they add a DirectQuery option which you can vote on here.

    • @yoshihirokawabataify
      @yoshihirokawabataify 6 ปีที่แล้ว

      Thank you for your reply. and DirectQuery idea
      Import by Power BI Dataflows is nice,
      and DirectQuery by Power BI Dataflows is hope for large datas with small pc

  • @BrianGarside
    @BrianGarside 5 ปีที่แล้ว +1

    Nice Demo. I guess If your willing to learn Power M on backend its a nice tool-set eco-system. It would be nice if the back end Language was more unified with front end DAX.

  • @rebelgusanos
    @rebelgusanos 5 ปีที่แล้ว

    Is it theoretically possible to have a SharePoint folder as a data source. Haven't been able to achieve this on dataflows

  • @timewithsopy
    @timewithsopy ปีที่แล้ว

    I still don't understand the key reason on why I should drop datasets but I do feel better with data flow.

  • @SEAN8659
    @SEAN8659 5 ปีที่แล้ว

    Did all the steps, when connecting to the data flow its an empty table. Any reasons why? The dataflow is still refresh could this be the case

  • @DanielWeikert
    @DanielWeikert 6 ปีที่แล้ว

    Could you dive into Composite Models and Aggregated Tables?

  • @ajinkyahatolkar6518
    @ajinkyahatolkar6518 3 ปีที่แล้ว

    kuch nahi samj rha

  • @adys00
    @adys00 3 ปีที่แล้ว +1

    For me dataflows works RIDICULOUSLY SLOW.

    • @PragmaticWorks
      @PragmaticWorks  3 ปีที่แล้ว

      Not sure why they are slow but check our videos and classes on Azure Data Factory! :)