Optimizing your runs for lower compute, fresher data, and faster iteration with dbt State

dbt State turns freshness rules into model-level code, so each model rebuilds only when its data actually needs refreshing. That approach took dbt Labs' own project from nineteen scheduled jobs down to two, cutting compute while keeping data fresher and iteration faster.