Data Engineer
hardde-airflow-best-practices

What are Airflow DAG best practices for reliable data pipelines?

Answer

Reliable DAGs are idempotent, observable, and easy to backfill. Best practices: - Use small tasks and clear dependencies - Avoid heavy logic in schedulers - Add retries/backoff and SLAs - Use parameters for backfills - Version DAG changes and test locally Monitor failures, duration, and data quality to detect silent pipeline breaks.

Related Topics

AirflowOrchestrationReliability