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Airflow is a platform to programmatically author, schedule and monitor workflows

Source: Airflow

Airflow can be used to:

  • run tasks on a regular schedule
  • run memory-intensive workloads
  • run end-to-end processing workflows involving multiple steps and dependencies
  • monitor the performance of workflows and identify issues
This page was last reviewed on 7 May 2022. It needs to be reviewed again on 7 May 2023 by the page owner #ask-data-engineering .
This page was set to be reviewed before 7 May 2023 by the page owner #ask-data-engineering. This might mean the content is out of date.