Apache Airflow
Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows. It uses directed acyclic graphs (DAGs) to define tasks and dependencies, enabling complex data pipeline orchestration. Airflow provides a web interface for visualization and management, along with extensibility through operators and plugins.
Developers should learn Apache Airflow when building, automating, and managing data engineering pipelines, ETL processes, or batch jobs that require scheduling, monitoring, and dependency management. It is particularly useful in scenarios involving data integration, machine learning workflows, and cloud-based data processing, as it offers scalability, fault tolerance, and integration with tools like Apache Spark, Kubernetes, and cloud services.