Universal PMML Plug-in™ for DAS

Predictive scoring for Hadoop is here!

 

Overview

Zementis and Datameer have partnered to deliver first-ever standards-based execution of predictive analytics on a massive parallel scale. This joint solution combines the Zementis Universal PMML Plug-in for real-time execution of predictive models with the power and scale of Datameer Analytics Solution (DAS), an end-to-end BI solution that includes data source integration, an analytics engine, visualization and dashboarding.

DAS uses Apache Hadoop, a Java-based framework that supports the parallel storage and processing of large data sets in a distributed environment, as its back-end storage and processing engine to scale cost-effectively to 4000 servers and petabytes of data. It provides wizard-based data integration to integrate large datasets of structured and unstructured data, integrated analytics with familiar spreadsheet-like interface and over 200 built-in analytic functions and drag and drop reporting and dashboarding visualization for end-users. Open API's for data integration, analytics and dashboarding make it easy to access custom data sources, utilize advanced or custom analytics like predictive modeling as well as custom visualizations.

The Universal PMML Plug-in for DAS brings together essential technologies, offering the best combination of open standards and scalability for the application of predictive analytics. The Plug-in fully supports the Predictive Model Markup Language (PMML), the de facto standard for data mining applications, which enables the integration of predictive models from IBM/SPSS, SAS, R, and many more.

Predictive Scoring for Hadoop - Advantages

The Universal PMML Plug-in for DAS delivers instant and scalable scoring for big data while retaining compatibility with most major data mining tools through the PMML Standard. Through its versatile deployment solution, the Zementis/Datameer partnership:

• Brings the scalability of Hadoop to the execution of predictive analytics
• Supports PMML to avoid time-consuming and expensive one-off predictive analytics projects
• Integrates data from multiple data sources and formats without complex data and schema mappings that are time consuming to set up and difficult to change
• 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.

Watch the DAS Analytics video tutorial which highlights how simple it is to leverage PMML-based predictive models in DAS.

For more information about the Universal PMML Plug-in for DAS, including technical as well as pricing, feel free to contact us, or download the product sheet.