![]() This is a very frequent statement from the Data Vault community. ![]() It seems that there is also agreement on automation and agile, which also aims at delivering fast and frequent to the business.ĭata Vault: You never have to go back to the source It is a Meta data driven design and build tool, centered around a dimensional model including staging, data cleansing and optionally also cubes and much more. The assumption I am making here is, that Data Vault is not seen as the only way to automate the generation of a dimensional model.Īt timeXtender we promote an agile approach (methodology) and automation to speed up implementation. I will try to get a little deeper in understanding Data Vault and the added value over a pure Kimball Star Schema dimensional model. I do not know many organizations that would not like to have all of the above from all everything they do.Īssumption: A dimensional model can be automated too If the Data Vault is to be considered as the backend Data Warehouse, I guess we would then be discussing the work done in between the data sources and the dimensional model.Ī couple of the key words from the discussion were repeatable, automatable and generatable, along with words like auditable, flexibility and adaptability. The traffic on my blog went crazy (probably aided by Dan Linstedt’s post on his blog) and I am expecting a call from WordPress, trying to sell me an upgrade to a dedicated server :-)Īs one of the comments on the last post stated, there seems to be agreement that star schemas are best for reporting. ![]() It is clearly a topic that releases some strong emotions. ![]() Star Schemas and it was as expected like putting my hands in the hornets nest. My last post touched the sensitive topic of Data Vault vs. ![]()
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February 2023
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