A misconception persists around Data Vault: that it can only be applied to traditional relational databases. As soon as Hadoop, MongoDB, or more broadly NoSQL technologies are mentioned, Data Vault is often considered unsuitable, too relational, or too normalized....
Data Vault modeling and star schema modeling are often presented as opposing approaches, as if one had to be chosen over the other. In reality, this opposition is artificial. These two approaches do not address the same use cases, do not pursue the same objectives,...
In many organizations, data has become a critical asset. It fuels performance management, strategic decision-making, regulatory compliance, and increasingly, AI initiatives. Yet despite significant investments, one question frequently arises at executive level: can we...
Data Vault and BI legacy: why Data Vault doesn’t “replace” BI (and how to decommission safely) Table of contents Context: starting from scratch is rare Let’s put our foot in it: Data Vault is not a BI replacement BI vs Data Vault: different objectives, complementary...
That is a very good question, thanks for asking 😉 Is an expert simply someone with years of experience? An expert is someone with a lot of years of experience? No, even if it is for 20 years, if you only do the same things in the same context… Is an expert someone who...
