Add documentation links to README

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jlowin 2016-03-29 10:37:51 -04:00
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@ -15,14 +15,17 @@ workflows.
When workflows are defined as code, they become more maintainable,
versionable, testable, and collaborative.
Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks.
The airflow scheduler executes your tasks on an array of workers while
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.
For more information and documentation, please visit the [Airflow Wiki](https://github.com/airbnb/airflow/wiki).
## Getting started
Please visit the Airflow Platform documentation for help with [installing Airflow](http://pythonhosted.org/airflow/installation.html), getting a [quick start](http://pythonhosted.org/airflow/start.html), or a more complete [tutorial](http://pythonhosted.org/airflow/tutorial.html).
For further information, please visit the [Airflow Wiki](https://github.com/airbnb/airflow/wiki).
## Beyond the Horizon