Apache airflow Page

Apache Airflow

Apache Airflow is an open-source platform used for orchestrating complex workflows and data pipelines. Developed initially by Airbnb in 2014 and later open-sourced, Airflow allows users to define, schedule, monitor, and manage workflows programmatically as directed acyclic graphs (DAGs). It provides a rich set of features for workflow automation, including task dependencies, dynamic task generation, error handling, retries, and alerting. Airflow's architecture consists of a metadata database, a scheduler, an executor, and a web interface for visualization and monitoring. It supports integration with various data sources, services, and cloud platforms, making it popular for building data engineering pipelines, ETL (extract, transform, load) processes, machine learning workflows, and more. With its extensibility and scalability, Apache Airflow has become a widely adopted tool in the data engineering and data science communities for managing and orchestrating data workflows. [https://en.wikipedia.org/wiki/Apache_Airflow]