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Pentaho Expands Big Data Support with EMC Greenplum UAP

Today EMC Greenplum announced the industry’s next-generation platform for big data analytics—the EMC Greenplum Unified Analytics Platform (UAP). This platform combines co-processing of structured and unstructured data with a productivity engine that empowers and shatters current barriers to collaboration among data science teams.

Pentaho is proud to participate as a preferred Data Integration Partner for the EMC Greenplum UAP. A great boost for the productivity of data scientists, Pentaho plus the UAP make it easy to extract business intelligence out of unstructured data with the exact same tools and interfaces they use to access, visualize and analyze structured data.

This adds to Pentaho’s big data strategy and another step in our ongoing relationship with EMC Greenplum. Just back in May, we announced Pentaho support for the EMC® Greenplum® distribution of Hadoop, as well as native support for the Greenplum Database GPLoad (bulk loader).

A hybrid architecture that combines Hadoop with data marts and warehouses are a critical part of any effective business analytics architecture, so providing powerful and easy-to-use data integration, which is natively integrated with Hadoop, is a key piece of UAP. That’s why we believe Pentaho Data Integration is perfect for use as a part of UAP, especially as it provides the deepest available native integration with Hadoop, as well as native integration with the Greenplum Database and bulk loader.

The EMC Greenplum UAP is a giant step forward in simplifying the management, integration, and analysis of big data. It’s all about lowering the barriers to adoption, by simplifying working with big data analytics for IT, through things like providing familiar graphical interfaces for managing and analyzing big data, and orchestrating big data tasks. Then for business users, it’s about making it quick and easy for them to access and analyze big data.


Fore more details, check out the video I recorded with the EMC Greenplum team discussing our technology and participation as a Preferred Data Integration Partner (I appear at 0:42):