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)).
## Requirements
- Python = 2.7.x
- Python = 2.7.x (And Python >= 3.x if you don't use column usage transformer as it depends on antlr python 2 runtime)
## Concept
ETL job consists of extraction of records from the source, transform records, if necessary, and load records into the sink. Amundsen Databuilder is a ETL framework for Amundsen and there are corresponding components for ETL called Extractor, Transformer, and Loader that deals with record level operation. A component called task controls all these three components.
