DataCleaner is an open source solution for organizations and businesses wishing to increase and measure the quality of their data.
With DataCleaner users will be able to profile, compare, validate data against business rules, and monitor the progression of these measurements over time.
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Here are some key features of "DataCleaner":
· Data Monitoring
· Data profiling and DQ Analysis
· Data cleansing and enrichment
· Detect and merge duplicates
· Customer data quality
· Super-fast ETLightweight
What's New in This Release: [ read full changelog ]
· Several wizards are now available for registering datastores; including file-upload to the server for CSV files, database connection entry, guided registration of Salesforce.com credentials and more.
· The job building wizards have also been extended with several enhanced features; Selection of value distribution and pattern finding fields in the Quick analysis wizard, a completely new wizard for creating EasyDQ based customer cleansing jobs and a new job wizard for firing Pentaho Data Integration jobs (read more below).
· You can now ad-hoc query any datastore directly in the web user interface. This makes it easy to get quick or sporadic insights into the data without setting up jobs or other managed approaches of processing the data.
· Once jobs or datastores are created, the user is guided to take action with the newly built object. For instance, you can very quickly run a job right after it's built, or query a datastore after it is registered.
· Administrators can now directly upload jobs to the repository, which is especially handy if you want to hand-edit the XML content of the job files.
· A lot of the technical cruft is now hidden away in favor of showing simple dialogs. For instance, when a job is triggered a large loading indicator is shown, and when finished the result will be shown. The advanced logging screen that was previously there can still be displayed upon clicking a link for additional details.
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