Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data. It does that today by indexing data resources (tables, dashboards, streams, etc.) and powering a page-rank style search based on usage patterns (e.g. highly queried tables show up earlier than less queried tables). Think of it as Google search for data. The project is named after Norwegian explorer [Roald Amundsen](https://en.wikipedia.org/wiki/Roald_Amundsen), the first person to discover South Pole.
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data. It does that today by indexing data resources (tables, dashboards, streams, etc.) and powering a page-rank style search based on usage patterns (e.g. highly queried tables show up earlier than less queried tables). Think of it as Google search for data. The project is named after Norwegian explorer [Roald Amundsen](https://en.wikipedia.org/wiki/Roald_Amundsen), the first person to discover the South Pole.
It includes three microservices and a data ingestion library.
It includes three microservices and a data ingestion library.
-[amundsenfrontendlibrary](https://github.com/lyft/amundsenfrontendlibrary#amundsen-frontend-service): Frontend service which is a Flask application with a React frontend.
-[amundsenfrontendlibrary](https://github.com/lyft/amundsenfrontendlibrary#amundsen-frontend-service): Frontend service which is a Flask application with a React frontend.
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-[amundsendatabuilder](https://github.com/lyft/amundsendatabuilder#amundsen-databuilder): Data ingestion library for building metadata graph and search index.
-[amundsendatabuilder](https://github.com/lyft/amundsendatabuilder#amundsen-databuilder): Data ingestion library for building metadata graph and search index.
Users could either load the data with [a python script](https://github.com/lyft/amundsendatabuilder/blob/master/example/scripts/sample_data_loader.py) with the library
Users could either load the data with [a python script](https://github.com/lyft/amundsendatabuilder/blob/master/example/scripts/sample_data_loader.py) with the library
or with an [Airflow DAG](https://github.com/lyft/amundsendatabuilder/blob/master/example/dags/sample_dag.py) importing the library.
or with an [Airflow DAG](https://github.com/lyft/amundsendatabuilder/blob/master/example/dags/sample_dag.py) importing the library.
-[amundsencommon](https://github.com/lyft/amundsencommon): Amundsen Common library holds common codes among micro services in Amundsen
-[amundsencommon](https://github.com/lyft/amundsencommon): Amundsen Common library holds common codes among microservices in Amundsen.
