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 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...
There are similarities between the approach to implementing an MDM system and the approach to implementing an EDWH with Data Vault, especially speaking about the business key concept. This for a very simple reason: these 2 subjects are complementary! Why MDM and Data...
No, this is not the sequel of Little House on the Prairie, but rather the continuation of our articles related to the buzz words wandering in the world of Data… So now that the implementation of Datalakes has been completed – or is in progress, or even starting… –...
