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Data Validation and Data Preparation for Analytics1-10 Employees
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Data Validation and Data Preparation for Analytics
Arrah Technology is the creator of osDQ - Open Source Data Quality Project.We are extending this product to

a.) Make  data scientist more productive. It will be a must utility tool for data scientist and analyst.

b.) Data Steward and Business users can represent data in canonical way (in machine readable format) and share business rules with technical team without ambiguity. It will reduce the time for Business Intelligence project implementation.


c.) Data Steward and Business users can validate business rules by using natural languages and tags. It will reduce burden on technical team to validate the data. Also downstream systems like reports, analytic, prediction will be more accurate

d.) Data Validators ( QA for data) don't have to spend days to validate data after integration or migration. It is automated.

sourceforge.net/projects/dataquality
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Vivek Singh
Avatar for Vivek Singh
IIT Kanpur , India 1992-96  Worked for Yahoo, Oracle, Business Objects ( now SAP, Infosys Leading voice of Data and Business Intelligence
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