Data modeling
Data modeling shows up across 3 courses in 1 layerof the data platform stack. Here's where it's taught, a free way to practice it, and what to learn next.
Where it's taught
Data Vault 2.0
The audit-first, source-volatile-first alternative to Kimball. Hubs, links, satellites, hash keys, and PIT tables — and the honest discussion of when Vault is the right tool versus when it's cosplay.
10 ch · 2h 8m
1 freeOne Big Table & Wide-Table Design
The columnar-engine-native modeling style. When 200-column denormalized tables go from heresy to the right answer — and where OBT's quiet costs (update amplification, fan-out, governance) live.
8 ch · 1h 28m
1 freeChoosing a Modeling Style
The decision framework that spans Kimball, Vault, and OBT. By the end, the choice is defensible — you can name the inputs, predict the costs, and explain why one approach wins for your specific team, sources, engine, and change rate.
6 ch · 1h 4m
1 freeRelated topics
Start learning data modeling free
The first chapter of every course is free to read — no account needed.