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Datawatch Improves Usability and Speed of Visual Data Discovery Software


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Datawatch Corp. has introduced the latest release of its visual data discovery solution, which offers users new capabilities to make developing and deploying visualizations faster and more effective. 

"This release represents a significant step forward for Datawatch in the visual data discovery market," said Ben Plummer, chief marketing officer and senior vice president of strategic alliances for Datawatch. "The focus of this release was squarely on providing our customers and partners with a best-in-class user experience, while expanding the sources of data they can leverage to develop high value visualization applications.”

Key highlights of the new 12.3 release of the Datawatch solution include predictive and advanced analytics with built-in support for R and Python execution and transforms; high-performance, in-memory caching of data to support big data and sub-optimized databases; a new server repository to store, version control, govern access to and provide lineage to a wide variety of source documents (Excel workbooks, PDF documents, etc.); expanded big data connectivity -  to Hadoop Hive (including Cloudera, MapR, HortonWorks) and Cassandra (including DataStax); geospatial analysis with an expanded map tiles library and new map plot for historic and in-motion visualization; a connector to XMLA compliant OLAP sources - including Oracle Essbase and Microsoft SQL Server Analysis Server; and enhanced support for IBM Cognos TM1, with a new native connector to visualize data from a cube view, subset element, dimension subset or custom MDX query.

"This release represents a significant step forward for Datawatch in the visual data discovery market," said Ben Plummer, chief marketing officer and senior vice president of strategic alliances for Datawatch. "The focus of this release was squarely on providing our customers and partners with a best-in-class user experience, while expanding the sources of data they can leverage to develop high value visualization applications.”

For details from Datawatch, go to www.datawatch.com.


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