DataCleaner – profiling, validating and comparing data

DataCleaner is an open source application for profiling, validating and comparing data. These activities help users administer and monitor data quality in order to ensure that your data is useful and applicable to a business situation.

DataCleaner is the free alternative to software for master data management (MDM) methodologies, data warehousing (DW) projects, statistical research, preparation for extract-transform-load (ETL) activities and more.

DataCleaner is also the flag-ship application of the eobjects.org open source community.

DataCleaner supports a number of different optimization techniques that can be combined in order to make your job execute as quick and efficient as possible.

The software has an attractive graphical user interface and also supports command-line execution using the runjob tool.

Features include:

  • Data Profiling – used to calculate and analyse various important measures based on the values of data.
  • Data matching.
  • Data Validation – the validator will give you a result that can be interpreted as “good” or “bad”, since the validator validates your data.
  • Data comparison.
  • Dictionary management.
  • Pattern analysis.
  • Supports read-access to many types of datastores:
    • JDBC compliant databases (Officially tested and supported: Oracle, MySQL, Postgresql, Firebird, SQLite, Hsqldb, Derby/JavaDB).
    • Comma-separated values (.csv) files.
    • Excel (.xls) spreadsheets.
    • XML files.
    • OpenOffice Base (.odb) files.

Website: datacleaner.github.io
Support: Documentation
Developer: eobjects.org
License: GNU LGPL

DataCleaner

DataCleaner is written in Java. Learn Java with our recommended free books and free tutorials.

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