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Wednesday, June 12 • 2:10pm - 2:40pm
Real-Time Big Data with Storm, Cassandra, and In-Memory Computing

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This session will describe how to resolve the processing limitations by placing the streaming and data store interfaces in-memory as well, through an in-memory computing platform, and also how to resolve the complexity challenge by implementing a DevOps approach that abstracts all the underlying infrastructure and provides single-click management of all the application tiers and services, on any environment (private/public cloud, bare metal…). And the best news is that all this optimization can be implemented seamlessly, with no code change to your apps.


DeWayne Filppi

Senior Architect, GigaSpaces
Software Engineer/Architect/Consultant with over 25 years broad industry experience.  Current role is assisting GigaSpaces customers with architecting and developing systems in the areas of in-memory and cloud computing.  Particularly focused on elastic real time big data systems.

Wednesday June 12, 2013 2:10pm - 2:40pm
Fleet Room - Building D Fort Mason, San Francisco, CA

Attendees (3)