Apache Airflow is a community-driven platform designed to programmatically author, schedule, and monitor workflows. It features a modular architecture and is highly scalable, allowing users to define workflows in Python.
About Apache Airflow
Apache Airflow provides a dynamic and extensible platform for workflow management, enabling users to create lean and explicit pipelines using Python. It supports dynamic pipeline generation and allows for the integration of custom operators and libraries, making it suitable for various environments.
Data Pipeline Orchestration
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Features
Define workflows in Python
Schedule workflows programmatically
Monitor workflows in real time
Scale workflows across multiple nodes
Integrate with various data sources
Visualize workflow dependencies
Trigger workflows based on external events
Manage task execution and retries