dbt anchors DAG-native SQL workflows

The real value in this framing is that dbt turns transformation logic into a dependency-aware system teams can reason about, test, and scale.

• –dbt’s model lineage graph makes dependency chains explicit instead of burying them in ad hoc SQL job ordering.
• –Pairing dbt with Airflow cleanly separates concerns: dbt handles transformation semantics while Airflow handles orchestration, retries, and scheduling.
• –DAG visibility helps teams catch downstream blast radius earlier when upstream models or sources change.
• –Ecosystem adoption around dbt+Airflow orchestration patterns reinforces this as a practical, production-proven stack.