Azure Data LakeHouse in an Hour Virtual Workshop

แชร์
ฝัง
  • เผยแพร่เมื่อ 16 ม.ค. 2025

ความคิดเห็น • 7

  • @apocalipto91
    @apocalipto91 ปีที่แล้ว +1

    Awesome!!

  • @alexandredemenezescastro
    @alexandredemenezescastro ปีที่แล้ว +1

    41:57 You placed the output file name in wrong Data flow, it must to be in BronzetoSilverGeo

    • @insightsoutliers
      @insightsoutliers  ปีที่แล้ว +1

      Thank you! I'll take a look and see if I can fix it.

  • @jeremyloscheider833
    @jeremyloscheider833 2 ปีที่แล้ว +1

    I don't disagree with bronze/silver/gold in the file path. The suggestion to associate with a project or domain within the lakehouse file path makes sense. I will note that bronze/silver/gold can have unintended meanings so using raw/processed/enriched may be more clear.

    • @insightsoutliers
      @insightsoutliers  2 ปีที่แล้ว

      Jeremy, I agree and would probably name it differently if I started over. From my perspective there is quite a bit of freedom to organize different steps of a project based upon organizational norms. Naming conventions, User access per Security requirements, Organizing Multiple Data Lakes, hierarchical organization patterns in Data Lakes, CICD patterns, etc can all be different. One piece of advice I'd hold firm is to standardize on an architectural pattern that can scale across collaborative teams and projects to prevent a data lake from becoming a data swamp.

  • @sunnysaneeth6693
    @sunnysaneeth6693 9 หลายเดือนก่อน +1

    Why did you use date.csv file in this ?

    • @insightsoutliers
      @insightsoutliers  9 หลายเดือนก่อน +1

      At the time it was a simple way to add a Date table to the Gold layer. It also shows that you can strategically unite data from different sources with a Lakehouse architecture. I'd probably do it differently today with Fabric.