Real-Time Big Data at In-Memory Speed, Using Storm
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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.
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.
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Real-Time Big Data at In-Memory Speed, Using Storm
Ron Zavner
Ron Zavner is a Senior Applications Architect at GigaSpaces, with a focus on high-performance, mission-critical systems and cloud computing. He has over a decade of technology experience, specializing in Java and cloud technologies.