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.
So, wouldn't it be great if you could now benefit from the flexibility of a standard such as PMML combined with in-database scoring? Zementis is offering just such a solution. It is called the Universal PMML Plug-in™ and it is truly amazing!
Here is why: for starters, 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, and, 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, IBM/SPSS, or R, you are ready to start benefiting from in-database scoring right away.
UPPI for IBM PureData Systems for Analytics allows for predictive solutions built in any PMML-compliant environment to be put to use right way, close to your data, inside the IBM appliance.
The IBM PureData data warehouse appliance is infused with advanced analytics which offer the technology necessary to process massive data and to solve complex problems orders of magnitude faster than typical solutions. With IBM PureData Systems for Analytics, parallelized analytics for data pre- and post-processing, scoring and optimization can exploit the IBM Netezza Asymmetric Massively Parallel Processing (AMPP) architecture to deliver blisteringly fast insightful results.
Since the Universal PMML Plug-in transforms your complex predictive solutions into SQL functions, these can be readily used in any query and generate business decisions and insights where and when you need them.
Want to learn more?
1) Download the Product Data Sheet
2) Download the IBM Netezza Analytics Data Sheet