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SkillsCast

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

28th November 2013 in London at The Crypt, St James Church Clerkenwell

There are 8 other SkillsCasts available from NOSQL eXchange

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Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

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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Thanks to our sponsors

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.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

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.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

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.