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Real-Time Big Data at In-Memory Speed, Using Storm

by CTO & Founder at GigaSpaces Technologies on Aug 22, 2013

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Storm, a popular framework from Twitter, is used for real-time event processing. The challenge presented is how to manage the state of your real-time data processing at all times. In addition, you ...

Storm, a popular framework from Twitter, is used for real-time event processing. The challenge presented is how to manage the state of your real-time data processing at all times. In addition, you need Storm to integrate with your batch processing system (such as Hadoop) in a consistent manner.
This session will demonstrate how to integrate Storm with an in-memory database/grid, and explore various strategies for integrating the data grid with Hadoop and Cassandra, seamlessly. By achieving smooth integration with consistent management, you will be able to easily manage all the tiers of you Big Data stack in a consistent and effective way.

- See more at: http://nosql2013.dataversity.net/sessionPop.cfm?confid=74&proposalid=5526#sthash.FWIdqRHh.dpuf

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Real-Time Big Data at In-Memory Speed, Using Storm Real-Time Big Data at In-Memory Speed, Using Storm Presentation Transcript