Enterprise Analytics at Scale Using Graph Database [Slideshare]

Posted by Kirk Newell on May 17, 2016 10:30:00 AM
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Whether they are doing research for regulatory compliance, trade surveillance, 360-degree customer awareness, drug discovery or clinical trial site selection, enterprises can benefit from the power of semantic graph analytics. Developing a complete Smart Data Lake™ solution by combining business analysis tools for modeling, mapping and analyzing graph data with a massively parallel, in-memory, semantic graph database enables enterprises to utilize interactive, open standards-based, semantic graph analytics at big data scale.

In this webinar Marty Loughlin, VP Financial Services, and Barry Zane, VP of Engineering, discuss the Anzo Graph Query Engine, the key element in scaling the Anzo Smart Data Lake. Based on elastic clustered, in-memory computing, this component offers interactive ad hoc query and analytics on datasets with billions of triples. With this powerful layer over their data, end users can effect powerful analytic workflows in a self-service manner.

The Anzo Graph Query Engine gives enterprises the ability to fully scale their Smart Data Lake, allowing them to run interactive ad hoc queries and analysis on their data in a self-service manner.

To learn more, watch the full webinar on-demand here.

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Tags: Graph, Analytics, Smart Data Lake