# Airflow

Apache Airflow is an open-source platform for authoring, scheduling, and monitoring data pipelines. Pipelines are defined as DAGs (Directed Acyclic Graphs) in Python, where each node is a task and edges define dependencies. Airflow provides a web UI for monitoring runs, retrying failures, and tracking execution history. It is the standard orchestration tool for production Python data pipelines.

Visit the following resources to learn more:

- [@official@Airflow 101: Building Your First Workflow](https://airflow.apache.org/docs/apache-airflow/stable/tutorial/fundamentals.html)
- [@article@Introduction to Apache Airflow](https://www.dataquest.io/blog/introduction-to-apache-airflow/)
- [@video@Airflow Tutorial For Beginners (2026)](https://www.youtube.com/watch?v=IiczxlbQb8s)