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Pervasive Data Profiler 4 Released

Pervasive Software, a global vendor in embeddable data management and integration software, has announced the release of Pervasive Data Profiler 4, the latest version of its data quality tool for rapid, comprehensive profiling. Pervasive Data Profiler 4 features an enriched user interface, engine upgrade, enhanced analysis and reporting, and additional deployment options.

New features of Pervasive Data Profiler 4 include:

New user interface in an Eclipse Rich Client Platform (RCP)—The user interface with Eclipse’s open-source RCP is easier to use, and the short ramp-up time makes users more profiling-efficient. In addition, error handling and reporting have been improved, along with better debugging and validation capabilities of created scripts.
Rich, actionable 3-D reporting—New drilldown capabilities allow business users to view raw data and anomalies and trace the root cause of data behaviors faster.
More out-of-the-box metrics and business rules—End users find it easier and faster to get to results without creating custom queries.
Improved custom “auto generation” capabilities—Users can start profiling out of the box and automatically ‘suggest’ a suite of data tests that can be customized for each source/use case.
Reusability and sharing of profiling rules—Sharing artifacts with other users and reusing capabilities such as data connection and extraction definitions ensure users are more productive when profiling.
New join capability—Join multiple heterogeneous files in a single run.

“The frightening reality is that most organizations have no clue as to the state of their data quality,” said Mike Hoskins, CTO and general manager, Integration Products at Pervasive. “For companies with tight resources, aggressive timelines and large amounts of transactional data, rapid, comprehensive data quality assessment is essential to avoid project delays and cost overruns. Pervasive Data Profiler 4 is the secret weapon to assess and validate data so downstream projects can be successful.”

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