DAG files define the workflow structure as Python code; they specify the sequence in which tasks should be executed, the dependencies between tasks, and scheduling rules.

Apache Airflow, which can be thought of as an upgraded version of a cron job scheduler written in Python, helps enterprises connect data systems so that data flows between them.