Open-source platform for programmatically authoring, scheduling, and monitoring workflows.
About
Apache Airflow is a flexible, scalable workflow automation and scheduling system for authoring and managing data processing pipelines. It allows users to programmatically author, schedule, and monitor workflows, with tasks defined as Directed Acyclic Graphs (DAGs) in Python. Airflow is widely adopted for data engineering, MLOps, and automating complex computational workflows.
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Frequently Asked Questions
What does Apache Airflow do?
Apache Airflow is a flexible, scalable workflow automation and scheduling system for authoring and managing data processing pipelines. It allows users to programmatically author, schedule, and monitor workflows, with tasks defined as Directed Acyclic Graphs (DAGs) in Python. Airflow is widely adopted for data engineering, MLOps, and automating complex computational workflows.
When was Apache Airflow founded?
Apache Airflow was founded in 2014.
What industry does Apache Airflow operate in?
Apache Airflow operates in MLOps, DataOps, Workflow Automation, Scheduling System, Data Engineering, Open Source.