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Arik Chakma
274082fd77
* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
9 lines
794 B
Markdown
9 lines
794 B
Markdown
# Airflow
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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.
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Visit the following resources to learn more:
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- [@official@Airflow 101: Building Your First Workflow](https://airflow.apache.org/docs/apache-airflow/stable/tutorial/fundamentals.html)
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- [@article@Introduction to Apache Airflow](https://www.dataquest.io/blog/introduction-to-apache-airflow/)
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- [@video@Airflow Tutorial For Beginners (2026)](https://www.youtube.com/watch?v=IiczxlbQb8s) |