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Tao Feng authored and Hans Adriaans committed Jun 30, 2022
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# Amundsen Databuilder
Amundsen Databuilder is a [ETL](https://en.wikipedia.org/wiki/Extract,_transform,_load "ETL") framework designed to build data from Amundsen. You could use the library either with an adhoc python script([example](https://github.com/lyft/amundsendatabuilder/blob/master/example/scripts/sample_data_loader.py)) or inside an Apache Airflow DAG([example](https://github.com/lyft/amundsendatabuilder/blob/master/example/dags/sample_dag.py)).
Amundsen Databuilder is a data ingestion library, which is inspired by [Apache Gobblin](https://gobblin.apache.org/). It could be used in an orchestration framework(e.g. Apache Airflow) to build data from Amundsen. You could use the library either with an adhoc python script([example](https://github.com/lyft/amundsendatabuilder/blob/master/example/scripts/sample_data_loader.py)) or inside an Apache Airflow DAG([example](https://github.com/lyft/amundsendatabuilder/blob/master/example/dags/sample_dag.py)).

## Requirements
- Python = 2.7.x (And Python >= 3.x if you don't use column usage transformer as it depends on antlr python 2 runtime)
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