Apache Airflow® is a platform created by the community to programmatically author, schedule and monitor workflows. Apache Airflow® has a modular architecture and uses a message …

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, …

Airflow uses directed acyclic graphs (DAGs) to manage workflow orchestration. Tasks and dependencies are defined in Python and then Airflow manages the scheduling and execution.

One of the main advantages of using a workflow system like Airflow is that all is code, which makes your workflows maintainable, versionable, testable, and collaborative.

Nov 27, 2025 · Learn the basics of Apache Airflow in this beginner-friendly guide, including how workflows, DAGs, and scheduling work to simplify and automate data pipelines.

5 days ago · Apache Airflow in Action: Mastering Triggers, Sensors & Operators for Scalable Workflows In modern enterprises, data pipelines are no longer batch-only, static jobs. They …

Jul 13, 2025 · Apache Airflow has emerged as one of the most popular open-source platforms for developing, scheduling, and monitoring workflows. Originally created by Airbnb in 2014 and …