Airflow: Difference between revisions
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* https://airflow.apache.org/docs/apache-airflow/stable/start/index.html | * https://airflow.apache.org/docs/apache-airflow/stable/start/index.html | ||
* https://www.datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow | * https://www.datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow | ||
* Release Notes https://airflow.apache.org/docs/apache-airflow/stable/release_notes.html | |||
=Internal= | =Internal= | ||
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=Subjects= | =Subjects= | ||
* [[Airflow Concepts|Concepts]] | * [[Airflow Concepts|Concepts]] | ||
* [[Airflow Operations|Operations]] | |||
* [[Airflow Programming Model|Programming Model]] | |||
=Organizatorium= | =Organizatorium= | ||
Latest revision as of 00:17, 14 July 2022
External
- https://airflow.apache.org/docs/apache-airflow/stable/start/index.html
- https://www.datarevenue.com/en-blog/airflow-vs-luigi-vs-argo-vs-mlflow-vs-kubeflow
- Release Notes https://airflow.apache.org/docs/apache-airflow/stable/release_notes.html
Internal
Overview
Airflow is a platform to programmatically author, schedule and monitor workflows. The workflows are expressed as DAGs of tasks.
Subjects
Organizatorium
- Users schedule batch jobs in Airflow.
- Celery Executor: https://airflow.apache.org/docs/apache-airflow/stable/executor/celery.html
- Kubernetes Executor introduced in Airflow 1.10.0
- Dag Sync