Data Vault 2.0 still suffers from an often unfair reputation. Frequently described as “too complex”, “too normalized”, or “not performant enough”, it is sometimes dismissed without being truly understood. Yet, in many complex and evolving environments, it is precisely...
Building a data architecture is rarely a technology problem. It is first and foremost a matter of framing, prioritization, and long-term discipline. Many data platforms fail not because the tools are bad, but because the foundations were designed to address an...
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,...
📅 Thursday, March 26, 2026 | 1:00 PM – 2:00 PM FOLLOW US had the privilege of taking part on Thursday, March 26, in an INR working group on Sovereignty, Robustness and Resilience, led by Vincent Courboulay, HDR Associate Professor at La Rochelle University. The...
