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

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.

Nati is the CTO and Founder of GigaSpaces. He is responsible for defining the technology roadmap and the direction of GigaSpaces' products. Nati is also a thought leader in Cloud computing and is the founder of the Israeli cloud.org consortium. He has 15 years of experience with distributed computing and is known as an industry expert in building large scale deployments. As a software visionary and industry leader, Nati is a frequent presenter at industry conferences. Nati holds a B.Sc. in Electrical Engineering from Coventry University, UK.