Why dbt Projects Use Layers, Not Hero Queries
Explain why layered dbt models outperform one giant reporting query.
One giant query feels faster until you have to change it. dbt treats transformation as a sequence of intentional layers. The goal is not aesthetic neatness. The goal is to make every change answerable: what came from the source, what got standardized, what became a reusable business concept, and what got published for consumption. Stage 1: Staging is where raw stops being raw Staging models rename vendor-specific columns, coerce types, deduplicate obvious source issues, and preserve business-neutral meaning. They should make source tables usable without deciding what revenue, retention, or activation means for the company. Stage 2: Intermediate is where…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in