Strata 7

Semantic & Metrics Layer

Finance and growth report different revenue for the same month, because each team rebuilt “the” customer table its own way. Modeling is not academic — it is why your numbers do or don't reconcile.

This stratum covers dimensional modeling end to end: star schemas and the Kimball bus matrix, slowly changing dimensions (SCD Type 1 and 2), Data Vault 2.0, One Big Table and wide-table designs, conformed dimensions, and how to choose a modeling style for a real warehouse.

See these SCD types in action — live. Replay a change timeline and watch the dimension transform under Type 0/1/2/3/4/6, then explore the join trap, storage cost, and bitemporal corrections — 100% in your browser. Open the SCD Playground

What you'll learn

  • Design star schemas, fact and dimension tables, and a conformed bus matrix
  • Implement slowly changing dimensions (SCD Type 1 and 2) correctly
  • Know when Data Vault 2.0, One Big Table, or classic Kimball fits the problem
  • Make different teams' metrics reconcile through conformed dimensions

Tracks & courses

Full navigation is in the sidebar. Here's what each track gives you and the courses inside it.

Dimensional Modeling Foundations

The shared vocabulary every metrics layer assumes — grain, facts, dimensions, SCDs, conformed dimensions, and the bus matrix.

Modeling Alternatives: Data Vault & OBT

When stars aren't the answer. Data Vault for audit-heavy, source-volatile environments; OBT for columnar engines with low-cardinality joins; and how to choose between styles.

Related topics

Start Semantic & Metrics Layer free

The first chapters of every course are free to read — no account needed.