Easily measure and increase the quality of your data with this free tool for Linux OSes
With DataCleaner, users will be able to profile, compare, validate data against business rules, and monitor the progression of these measurements over time.
AMong its features, we can mention data monitoring, data profiling and DQ analysis, data cleansing and enrichment, detect and merge duplicates, customer data quality, as well as super-fast ETLightweight (Extract-Transform-Load).
To learn more about DataCleaner's functions and capabilities, as well as how to work with it, please refer to http://eobjects.dk/docs
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What's New in version 3.5.5
- The 'Synonym lookup' transformation now has a option to look up every token of the input. This is useful if you're doing replacement of synonyms within the values of a long text field.
- Blocking execution of DataCleaner jobs through the monitor's web service for this could sometimes fail with a bug caused by the blocking thread. This issue has been fixed.
- An improvement was made in the way jobs and the sequence of components are closed / cleaned up after execution.
- The JNLP / Java WebStart version of DataCleaner was exposed by a bug in the Java runtime causing certain JAR files not to be recognized by the WebStart launcher, under certain circumstances. This issue has been fixed by making slight modifications to those JAR files.