Open Source Data Quality and Profiling

Project Description

This project is dedicated to open source data quality and data management initiatives. Data Quality includes profiling, filtering, governance, similarity check, data enrichment/alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc.
This project is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Dummy Data Creation, Meta Data Discovery, Anomaly Discovery, Reporting and Analytic.

It also had Hadoop ( Big data ) support to move files to/from Hadoop Grid, Create, Load and Profile Hive Tables. This project is also known as "Aggregate Profiler"