"Airflow DAG"의 두 판 사이의 차이
라이언의 꿀팁백과
(새 문서: 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. https://airflow.apache.org/docs/apache-airflow/stable/...) |
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| (같은 사용자의 중간 판 하나는 보이지 않습니다) | |||
| 1번째 줄: | 1번째 줄: | ||
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. | 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. | ||
* 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. | ||
https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html | * https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html | ||
* https://leeyh0216.github.io/posts/airflow_concept_dag_operator/ | |||
[[분류:컴퓨터공학]] | |||
[[분류:컴퓨터]] | |||
[[분류:Airflow]] | |||
[[분류:DAG]] | |||
[[분류:에어플로우]] | |||
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.