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 automation of complex data pipelines and batch processing. Airflow provides a web-based UI for visualization, logging, and management of workflows.
Also known as: Apache Airflow, Airflow DAG, Workflow Orchestrator, Data Pipeline Tool, Airflow Platform
🧊Why learn Airflow?
Developers should learn Airflow when building and managing data engineering pipelines, ETL processes, or any automated workflows that require scheduling, monitoring, and error handling. It is particularly useful in data-intensive applications, such as data warehousing, machine learning pipelines, and business intelligence reporting, where tasks need to be orchestrated reliably and scalably.
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