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How to Reduce Cost in Government with near Realtime Hadoop Analytics

 


Join Gartner, Inc. and IBM Platform Computing for an informative webinar where you will learn how to combine best of breed analytic solutions to provide a low latency, shared big data infrastructure. This helps government IT departments make faster decisions by analyzing massive amounts of data, improving security, detecting fraud, enabling faster decisions and saving cost by optimizing and sharing your existing infrastructure.

 

Government IT departments are using advanced analytics for applications such as pattern recognition, data classification, cryptographic analysis, fraud detection, image processing and video analysis for homeland security. When coupled with sophisticated analytics, big data is a valuable tool to gather insight not easily handled by current tools to deliver nearly real time results.

 

Apache Hadoop, the underlying technology for dealing with big data analytics, is used by both government and industry alike. By combining the power of the Apache Hadoop-powered IBM big data platform with IBM Platform Symphony Advanced Edition, government IT departments can get a cost-optimized solution that scales to meet the largest data challenges.

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Learn how to combine best of breed analytic solutions to provide a low latency, shared big data infrastructure.

Agenda

How to Reduce Cost in Government and Make Faster Decisions with near Realtime Hadoop Analytics

Thursday, July 12, 2012, 8:30AM PDT / 11:30AM EDT / 5:00PM GMT

Merv Adrian, Research Vice President, Gartner, Inc.
Rohit Valia, Program Director, High Performance Cloud and Analytics, IBM Platform Computing

See above for description.

Merv Adrian
Research Vice President, Gartner, Inc.
Rohit Valia
Program Director, High Performance Cloud and Analytics, IBM Platform Computing