Exploring attribute hierarchies in Power BI and Analysis Services - Unplugged #31

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  • เผยแพร่เมื่อ 23 พ.ย. 2024

ความคิดเห็น • 11

  • @_-VAV-_
    @_-VAV-_ 3 ปีที่แล้ว +2

    Unplugged versions of videos are so good. Well done!

  • @Milhouse77BS
    @Milhouse77BS 3 ปีที่แล้ว +2

    Another timely video for me. I've been using Best Practice Analyzer (BPA) in Tabular Editor to easily identify and disable columns isAvailableInMdx property. But now I will be more careful about disabling, and focus on larger size, and columns that won't be used in calculations. And I loved the #unplugged at 26:14.

  • @johansantacruz6464
    @johansantacruz6464 3 ปีที่แล้ว +1

    Thanks for helping us to learn so much about DAX!

  • @Cos_PB
    @Cos_PB 3 ปีที่แล้ว +1

    great insight, Marco! thanks for sharing.

  • @AlbertoGastaldo
    @AlbertoGastaldo 3 ปีที่แล้ว +1

    Hi Marco, very interesting video !
    What do you think about removing the hierarchy attribute from columns used in relationships ?
    In my DWH u always use surrogate keys and establish relationships in the model through those columns.
    Since all keys are identity columns, the hierarchy is quite large.
    Thanks for your suggestion
    Alberto

    • @SQLBI
      @SQLBI  3 ปีที่แล้ว

      No side effects if they are used only in relationships and not in formulas.

    • @AlbertoGastaldo
      @AlbertoGastaldo 3 ปีที่แล้ว

      @@SQLBI Thanks ! I'll go through the columns removing che SK first, and test both RAM savings & performance.

  • @zxccxz164
    @zxccxz164 ปีที่แล้ว

    Please discuss the impact oh processing large partitioned model. Currently it takes same time to process one partition as it does to process all 10 year partitions

  • @kalinduSekara
    @kalinduSekara 3 ปีที่แล้ว

    Thanks for the video Marco.
    I thought tabular is running under the power bi, what is the business of 'MDX' In here?. Can you explain this.

    • @SQLBI
      @SQLBI  3 ปีที่แล้ว +1

      When you use "Analyze in Excel" the queries are generated in MDX by Excel.

    • @kalinduSekara
      @kalinduSekara 3 ปีที่แล้ว

      @@SQLBI thank you.