Niles Partners is launching a product which will configure and publish Amundsen, to a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques which are embedded pre-configured tool with Debian10 and ready-to-launch. Amundsen is a kind of metadata-driven application, which is the holy grail of future applications. Amundsen is used to enhance the productivity of data analysis, data scientists and engineers during interaction with data. It does that by indexing data resources (tables, dashboards, streams, etc.) and powering a page-rank style search based on usage patterns (e.g. high queried tables show up earlier than less queried tables). This product is named after Norwegian explorer Roald Amundsen, he was the first person to ascertain the South Pole. It has the inclusion of the three microservices entailing a data ingestion library and a common library. • amundsenfrontendlibrary: Frontend service, is a Flask application with a React frontend. • amundsensearchlibrary: Search service, that leverages Elasticsearch for search abilities, is used to power frontend metadata searching. • amundsenmetadatalibrary: Metadata service, which leverages Neo4j or Apache Atlas as the persistent layer, to offer various metadata. • amundsendatabuilder: Data ingestion library for developing metadata graph and search index. Users are able to either load the data with a python script with the library or with an Airflow DAG importing the library. • amundsencommon: Amundsen Common library has the inclusion of common codes among microservices in Amundsen.