Zementis Simplifies Predictive Analytics for Big Data with Standards-Based In-Database Scoring

New universal PMML supports Teradata and Teradata Aster databases.

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Zementis Universal PMML Plug-in for Teradata / Aster delivers faster insights for Big Data

By partnering with Zementis, we are able to offer high performance, enterprise-level predictive analytics scoring for the major analytics tools that support PMML.

San Diego, CA (PRWEB) January 08, 2014

Zementis, a leader in predictive analytics solutions, and a partner of Teradata Corporation (NYSE: TDC) today announced the availability of the Universal PMML Plug-in, a scalable in-database scoring solution based on the Predictive Model Markup Language (PMML) industry standard, for Teradata analytic platforms.

The Zementis Universal PMML Plug-in (UPPI) enables the execution of standards-based predictive analytics directly within the Teradata Unified Data Architecture™. Users can now easily deploy predictive models built in R, IBM SPSS, SAS Enterprise Miner and other popular analytic tools on Aster and/or Teradata to achieve scale.

“By partnering with Zementis, we are able to offer high performance, enterprise-level predictive analytics scoring for the major analytics tools that support PMML. With Zementis and PMML, the de-facto standard for representing data mining models, we are eliminating the need for customers to recode predictive analytic models in order to deploy them within our database. In turn, this enables an analyst to reduce the time to insight required in most businesses today,” said Chris Twogood, Teradata vice president for product and services marketing.

Available for Teradata and Teradata Aster databases, UPPI leverages the massively parallel databases as a scalable, high-performance, scoring engine that easily processes through petabyte-scale data volumes. UPPI takes full advantage of the high-performance data warehouse with its massively parallel processing capabilities for rapid execution of standards-based predictive analytics based on the Predictive Model Markup Language (PMML) standard.

“The PMML standard delivers the promise of true interoperability, offering a mature standard for moving predictive models seamlessly between platforms,” said Dr. Michael Zeller, CEO of Zementis. “Models built in most commercial or open source data mining tools can now instantly be deployed in Teradata or Aster. The net result is the ability to leverage the power of standards-based predictive analytics on a massive scale, right where the data resides.”

About Zementis
Zementis, Inc. is a leading software company focused on the operational deployment of predictive analytics and was recognized by CIO Review as one of the "Top 20 most promising Big Data companies in 2013". Its ADAPA® and Universal PMML Plug-in scoring engines are designed from the ground up to benefit from open standards and to significantly shorten the time-to-market for predictive analytics in any industry. For more information, please visit http://www.zementis.com.

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