"Airflow DAG"의 두 판 사이의 차이
라이언의 꿀팁백과
| 2번째 줄: | 2번째 줄: | ||
* https://airflow.apache.org/docs/apache-airflow/stable/index.html | * https://airflow.apache.org/docs/apache-airflow/stable/index.html | ||
A DAG (Directed Acyclic Graph) is the core concept of Airflow, collecting Tasks together, organized with dependencies and relationships to say how they should run. | A DAG (Directed Acyclic Graph) is the core concept of Airflow, collecting Tasks together, organized with dependencies and relationships to say how they should run. | ||
2023년 6월 26일 (월) 10:11 기준 최신판
Apache Airflow™ is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. Airflow’s extensible Python framework enables you to build workflows connecting with virtually any technology. A web interface helps manage the state of your workflows. Airflow is deployable in many ways, varying from a single process on your laptop to a distributed setup to support even the biggest workflows.
A DAG (Directed Acyclic Graph) is the core concept of Airflow, collecting Tasks together, organized with dependencies and relationships to say how they should run.