Data Vault Foundations
Work / Data Vault Foundations
Case study · Learning system
An interactive learning system that teaches Data Vault, SQL, dbt and EU compliance through fourteen chapters of hands-on practice.
Open the platform Repository Certification and enterprise Data Vault: Scalefree
People who have to work with a Data Vault and have never built one: analysts, engineers moving to a new warehouse, and the compliance people who must sign off on it. The goal is usable understanding, not a certificate. By the last chapter you have written the SQL and taken the compliance self-test.
Fourteen chapters, in the order you take them. Five are regulatory.
More than a hundred exercises, each answered on the spot, and quests that string them into something you finish rather than a list you abandon. The progression unlocks as you go.
Five of the fourteen chapters are regulatory: GDPR, EU regulations, compliance mechanisms, the AI Act, and a compliance self-test. They treat compliance as part of the data model — which satellite holds the sensitive attributes, what a deletion has to leave behind — rather than a chapter bolted on at the end. The same question, taken further, became a paper: Engineering AI Act data governance for data teams.
The progression logic follows Yu-kai Chou's Octalysis framework; the same reading produced the Gamification Helper Tool on this site.
Fourteen static pages that open from one chapter portal. It runs anywhere a browser runs.
I design the product and make the technical calls — architecture, stack, interactions — then direct AI coding tools that build to my spec. I review and test everything that ships.
Live and free. This is independent work and this site sells no Data Vault consulting. For certification and enterprise Data Vault, see Scalefree.
Available on retainer, for a few clients at a time. Everything I hand over is built so your team can use it without me.