Overview
Not all analytic tasks are born the same. If one is confronted with massive volumes of data that need to be scored on a regular basis, in-database scoring sounds like the logical thing to do. In all likelihood, the data in these cases is already stored in a database and, with in-database scoring, there is no data movement. Data and models reside together hence scores and predictions flow on an accelerated pace.
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A new day has come! Zementis is now offering its amazing Universal PMML Plug-in™ for in-database scoring |
Amazing! Why?
For starters, it won't break your budget (feel free to contact us for details). Also, it is simple to deploy and maintain. Our Universal PMML Plug-in was designed from the ground up to take advantage of efficient in-database execution. Last but not least, as its name suggests, it is PMML-based. PMML, the Predictive Model Markup Language is the standard for representing predictive models currently exported from all major commercial and open-source data mining tools. So, if you build your models in either SAS, SPSS/IBM, or R, you are ready to start benefiting from in-database scoring right away
The PMML plugin seamlessly embeds models within your database. Data scoring requires nothing more than adding a simple function call into your SQL statements. You can score data against one model or against multiple models at the same time. There is no need to code regression equations or other more complex calculations in SQL or stored procedures. PMML and our Universal Plug-in can easily take care of that.
Modeling techniques currently supported are:
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Neural Networks Support Vector Machines Naive Bayes Classifiers Ruleset Models Clustering Models (including Two-Step Clustering) Decision Trees Regression Models (including Cox Regression Models) Scorecards Association Rules Multiple Models (model composition, ensembles, and segmentation) |
In addition to all these predictive techniques, the Universal PMML Plug-in includes the popular Zementis PMML Converter. This means that it accepts PMML models of all versions (2.0, 2.1, 3.0, 3.1, 3.2, and 4.0) generated by any of the major commercial and open source mining tools (SAS, SPSS/IBM, STATISTICA, MicroStrategy, Microsoft, Oracle, KXEN, Salford Systems, TIBCO, R/Rattle, KNIME, RapidMiner, etc.). It does not get more universal than this!
The Universal PMML Plug-in for EMC Greenplum Database
The Universal PMML Plug-in enables execution of standards-based predictive analytics directly within your EMC Greenplum Database. Each individual server (with a dedicated, independent, high-bandwidth channel connection to local disks) houses a separate instance of the Universal PMML Plug-in that can take full advantage of these local resources. The net result is the ability to leverage the power of standards-based predictive analytics on a massive scale, right where the data resides.
The Universal PMML Plug-in for EMC Greenplum not only delivers high performance model execution but it does so in an easy and seamless manner. With a couple of simple steps, PMML models are distributed to all segments of the EMC Greenplum installation and are made available for execution. Each model is presented as a separate SQL function that can be used in any query.
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For more details about the Universal PMML Plug-in for EMC Greenplum Database, feel free to contact us, or download the WHITE PAPER. |
Universal PMML Plug-in for Sybase IQ
With Sybase IQ, the Universal PMML Plug-in offers Sybase users the best combination of open standards and scalability for the application of predictive analytics.
The Universal PMML Plug-in for Sybase IQ delivers instant and scalable scoring for big data while retaining compatibility with most major data mining tools through the PMML Standard. Through its versatile use of two essential technologies, the Zementis/Sybase partnership:
- Brings the scalability of Sybase IQ to the execution of predictive analytics
- Supports PMML to avoid time-consuming and expensive one-off predictive analytics projects
- Provides cost effective storage and processing of large volumes of highly granular data that predictive applications often require
- Brings together a 100% standards-based approach to analytics that lowers total cost of ownership and increases reuse control and flexibility for orchestrating critical day-to-day business decisions.
For more details about the Universal PMML Plug-in for Sybase IQ, feel free to contact us, or download the product data sheet.
Start accelerating your scoring today with the Universal PMML Plug-in from Zementis!