A metrics layer defines calculations; a semantic layer adds business context, joins, and governance. See how they relate and why the distinction matters.
A step-by-step plan for building a semantic layer: start with metrics, map sources, use bronze, silver, and gold views, document, and enforce access policies.
A semantic layer maps raw tables and columns to business terms and metrics so every BI tool and AI agent gets the same answer. Learn what it contains.
A prioritized data engineering checklist covering pipeline design, data quality, idempotency, schema management, testing, and observability, with reasons.
