Zementis Announces In-Database Scoring Solution for the EMC Greenplum Database

Universal PMML Plug-in to deliver massively parallel execution of predictive analytics based on open standards

San Diego, CA (PRWEB) March 14, 2011 Zementis, a leader in predictive analytics solutions and EMC Corporation (NYSE: EMC), the world leader in information infrastructure solutions, today introduced the Universal PMML Plug-in™ for the EMC Greenplum Database.

The Universal PMML Plug-in enables the execution of standards-based predictive analytics directly within the EMC Greenplum Database, a high-performance massively parallel processing (MPP) database product. The Universal PMML Plug-in allows the EMC Greenplum Database to leverage the Predictive Model Markup Language (PMML) for highly optimized in-database scoring. Developed by the Data Mining Group (DMG), PMML is supported by all major data mining vendors, e.g., IBM SPSS, SAS, Teradata, FICO, Microstrategy, Tibco and Revolution Analytics as well as open source tools like R, KNIME, Rapid Miner and Weka.

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