Airflow orchestrates complex data pipelines by scheduling and monitoring workflows as directed acyclic graphs (DAGs). It automates task dependencies, retries failures, and integrates with tools like AWS and Python. Data engineers, analysts, and DevOps teams benefit from its scalability for ETL processes, ensuring reliable, auditable data movement across batch and streaming systems.
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