commit | 4234e3cbe767450801e89e098ca22b9ce342fe55 | [log] [tgz] |
---|---|---|
author | Maxime Beauchemin <maximebeauchemin@gmail.com> | Wed Aug 05 15:09:57 2015 -0700 |
committer | Maxime Beauchemin <maximebeauchemin@gmail.com> | Wed Aug 05 15:09:57 2015 -0700 |
tree | e1a483f4db90cef96b66357226454b8ce046f7db | |
parent | 955e00769081fcf643584c5c74552268d1acdc50 [diff] |
Preventing mssql from breaking the build
Airflow is a platform to programmatically author, schedule and monitor data pipelines.
![img] (http://i.imgur.com/6Gs4hxT.gif)
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. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.
As the Airflow community grows, we'd like to keep track of who is using the platform. Please send a PR with your company name and @githubhandle if you may.