Easily measure and increase the quality of your data with this free tool for Linux OSes. #Data quality component #Profiling monitor #Data validation #Data #Quality #Component
DataCleaner is an open source and totally free 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.
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
What's new in DataCleaner 4.0.9:
- Improvements and new features:
- We've made it possible to create and drop tables via the desktop UI of DataCleaner. Note that the term "table" here actually covers more than just relational database tables. It also includes Sheets in MS Excel datastores, Collections in MongoDB, Document types in CouchDB and ElasticSearch and so on... Basically all datastore types that support write-operations, except single-table datastores such as CSV datastores, support this functionality! The functionality is exposed via:
- "Create table" enabled via the right-click menu of schemas in the tree on the left side of the application.
DataCleaner 4.0.9
add to watchlist add to download basket send us an update REPORT- runs on:
- Linux
- filename:
- DataCleaner-4.0.9.tar.gz
4 screenshots:
- main category:
- Database
- developer:
- visit homepage
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