![]() For example, in a workflow to process data, you might have a task that retrieves the data, a task that cleans the data, and a task that stores the cleaned data. It is an open source project that allows you to programmatically create, schedule, and monitor workflows as directed acyclic graphs (DAGs) of tasks.Ī workflow is defined by a DAG of tasks, where an edge (a dependencies) represents the dependencies between tasks. ![]() Airflow Basic Tutorials Apache Airflow Introduction Apache Airflow Installation Apache Airflow DAG Apache Airflow Operators Apache Airflow task Apache Airflow Executor Apache Airflow Scheduler Apache Airflow Web Server Apache Airflow Worker Apache Airflow Database Apache Airflow Hooks Apache Airflow XComs Apache Airflow Templating Apache Airflow Task Dependencies Apache Airflow Execution Dates Apache Airflow Sub DAGs Apache Airflow Trigger Operators Apache Airflow Bash Operator Apache Airflow Python Operator Apache Airflow Email Operator Apache Airflow Simple HTTP Operator Apache Airflow MySQL Operator Apache Airflow Database Operator Apache Airflow Postgres Operator Apache Airflow Hive Operator Apache Airflow Spark Submit Operator Apache Airflow Dummy Operator Apache Airflow s3 File Transfer Operator Apache Airflow Branch Operator Executors Apache Airflow Sequential Executor Apache Airflow Local Executor Apache Airflow Celery Executor Apache Airflow Dask Executor Apache Airflow Kubernetes Executor Sensors Apache Airflow Sensors Apache Airflow File Sensor Apache Airflow HTTP Sensor Apache Airflow SQL Sensor Apache Airflow External Task Sensor Apache Airflow Time SensorĪpache Airflow is a platform to programmatically author, schedule, and monitor workflows.
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