Airflow
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What is 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.
Free resources to learn Airflow
More in stage 19: Data Pipelines
Airflow: common questions
Can I learn Airflow in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Airflow in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Airflow tutorial for beginners?
It is lesson 112 of 112 in the free Python for Data Analysis roadmap, in stage 19, Data Pipelines. If you are new to Python for Data Analysis, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.