Airflow - ghdrako/doc_snipets GitHub Wiki
Airflow is a platform to programmatically author, schedule and monitor workflows.
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies.
Core concepts DAG - A Directed Acyclic Graph is a collection of tasks, organised to reflect their relationships and dependencies.
Operator
The description of a single task, it is usually atomic. For example, the BashOperator is used to execute bash command.
Task - A parameterised instance of an Operator; a node in the DAG.
Task Instance - A specific run of a task; characterised as: a DAG, a Task, and a point in time. It has an indicative state: running, success, failed, skipped, ...