Let's Compare the Kimball and Inmon Data Warehouse Architectures

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  • เผยแพร่เมื่อ 2 ต.ค. 2024
  • Let's look at the Kimball and Inmon approaches to data warehouses. Which should you chose for your solution? What are the advantages and disadvantages and which will benefit your organization most?
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ความคิดเห็น • 34

  • @nullQueries
    @nullQueries  3 ปีที่แล้ว +7

    For a Data Vault alternative: th-cam.com/video/Tff34jj_V-0/w-d-xo.html

    • @vincentiustimothy9344
      @vincentiustimothy9344 2 ปีที่แล้ว +1

      I think you meant this link th-cam.com/video/D914nNWGP6E/w-d-xo.html

  • @prod-school
    @prod-school 3 ปีที่แล้ว +13

    Amazing to get started. Please make sure you post an update of this one with the latest of inmon modelling as it has changed a lot recently. But pretty clean videos. Amazing work mate

    • @nullQueries
      @nullQueries  3 ปีที่แล้ว +4

      Thanks! I wanted to start with the traditional methods and do a future video on data vaults and other modern designs. Every video spawns a dozen of ideas for new videos I can hopefully get to

  • @arthursimeon2620
    @arthursimeon2620 ปีที่แล้ว +2

    Any chance you could enable English auto-generated subtitles on this? For some reason it only has Vietnamese available

  • @pranavagashe
    @pranavagashe 3 ปีที่แล้ว +5

    In Inmon approach, aren’t the data marts supposed to be dimensional and de-normalized? Hence, better suited for good query performance?

  • @Techie-time
    @Techie-time 3 ปีที่แล้ว +3

    Why would denormalized data create duplication across data marts is not clear...data marts are created based on business domain of specific groups of the orgrnization...you may design these marts with whatever level of duplication/isolation you want to have across these marts...In fact the deformalized form of data by nature of design itself will have duplication in data...

  • @lcwl100
    @lcwl100 ปีที่แล้ว +3

    Excelent explanation. Thank you for the great content, but can be hard to undertand since subtitles are only available in vietnamese. Please consider addind subtitles in english for those with hearing impairments.

  • @wordonparliamentstreet6076
    @wordonparliamentstreet6076 2 ปีที่แล้ว +6

    Brilliant video.
    Makes a refreshing change to watch something which isn't so bogged down in the jargon.

    • @nullQueries
      @nullQueries  2 ปีที่แล้ว +3

      Thanks! It's hard when there's so much jargon with data warehousing

  • @kvbd2710
    @kvbd2710 17 วันที่ผ่านมา

    Thank you for such a wonderful video. For some reason, the subtitles for this video got messed up, I am unable to get it in English. It is defaulting to Vietnamese. Please help.

  • @ahmednaqvi3568
    @ahmednaqvi3568 ปีที่แล้ว +1

    Which software did you use to make this video? If not a secret

  • @nits_koh
    @nits_koh 11 หลายเดือนก่อน

    cool video . what software did you use to create the video/animations?

  • @top_1_percent
    @top_1_percent ปีที่แล้ว

    Thank you, legend

  • @hdebbache2000
    @hdebbache2000 3 ปีที่แล้ว +3

    Clear and pleasing, please keep it up you will get a lot of subscribers with content like that

  • @thghtfl
    @thghtfl 8 หลายเดือนก่อน

    You are contradicting yourself. Inmon's model has a datamarts layer with denormalized and ready to consume data, so how should that slow down reporting queries?

  • @spreadsheetsplays871
    @spreadsheetsplays871 ปีที่แล้ว

    Can't tell you how many jobs I've had where they list on the job description that must know Kimball 3rd Normal Form.

  • @allisoneduardo2404
    @allisoneduardo2404 2 ปีที่แล้ว

    Excelente explanation. I trying to produce some vídeos like that but I l've no ideia how to do animations like that, can you give me a direction please ?

  • @farhan789
    @farhan789 3 ปีที่แล้ว +1

    100 thumbs up. best explanation.

  • @GDveertje
    @GDveertje 2 ปีที่แล้ว

    Literally past explanation I’ve seen.

  • @letsplay8009
    @letsplay8009 2 ปีที่แล้ว

    Good stuff.. Really helpful

  • @KahanDataSolutions
    @KahanDataSolutions 3 ปีที่แล้ว

    Nice job!

  • @thedatawaiter1026
    @thedatawaiter1026 2 ปีที่แล้ว

    Really really really wonderful!

  • @00EagleEye00
    @00EagleEye00 3 ปีที่แล้ว

    Good day sir.
    I would like to ask on how to include a dimension on a hierarchical design (recursion) to a fact?
    Kindly set an example and provide explanation if possible.
    Thank you.

    • @AlbertoSimeoni-wi9wj
      @AlbertoSimeoni-wi9wj 9 หลายเดือนก่อน

      Integrated tools in dwh like the ones from SAP can do that.
      Otherwise you need to flatten the hierarchy into a dimension table then add a column with the level of the node. And put the level as prompt in the report or define different attribute based on the level. There is basically no way to have the full relations without tricks or integrated procedure/tool to manage recursive hierarchies.

  • @nazimbandoui
    @nazimbandoui ปีที่แล้ว

    Amazing content !

  • @alansilva3826
    @alansilva3826 3 ปีที่แล้ว

    Amazing video!

  • @jesflo4
    @jesflo4 3 ปีที่แล้ว

    Great video!

  • @wojpaw5362
    @wojpaw5362 3 ปีที่แล้ว

    Great content thanks!

  • @user-zv9um9pb6w
    @user-zv9um9pb6w 3 ปีที่แล้ว +4

    Fyi this is wrong you are describing classic inmon. More recently like 10 -13 years ago he changed to what is identical to the data vault

    • @RoflcopterV22
      @RoflcopterV22 3 ปีที่แล้ว +7

      Classic Inmon is the only Inmon, data vaults were not a concept created by Inmon, but rather something that he agreed was better for enterprise data warehousing than his concept. You can't credit Inmon with Dan Linstedt's data vault modeling method.

    • @fanyang7459
      @fanyang7459 3 ปีที่แล้ว

      @@RoflcopterV22 Agreed, Inmon's concept is really old. But Kimball will bring more troubles to the enterprise warehouse. Data vault similar like Inmon's concept but much more complex that both.

    • @terminalrecluse
      @terminalrecluse 8 หลายเดือนก่อน

      Querying a data vault for analytical/report style queries is terrible. 5 or 6 or more tables to join to get one thing?! Whereas with a fact table that’s pre aggregated based on some granularity the query could be as simple as a single select