DataCleaner is a solution for businesses and organizations wishing to measure and increase the quality of their data. DataCleaner includes functionality to profile and compare data, to validate data against business rules, and to monitor the progression of these measurements over time. It includes both a standalone desktop application for exploring and defining the data quality effort and a Web application for continuous data quality deployments.
This is a major feature and UI enhancement release. A lot of new features were added. Further details can be obtained in profiling results. Catalogs of regexes and dictionaries that can be reused in various settings were implemented. Values can be categorized based on dictionaries. Validation can be based on regexes. Datastores can be compared to get an overview of synchronized datastores.