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