Storm: Distributed Real-Time Computation (better than Hadoop)

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ABSTRACT:  Storm: Distributed Real-Time Computation (better than Hadoop)


Brian O’Neill dives deep.

Brian will introduce Storm, which is a distributed real-time computation system used by Twitter and others for large scale processing and analysis of events and data.  He will cover the primitives in Storm and demonstrate the applications of those primitives to real-world problems.

Additionally, Brian will cover the concepts of state management in a distributed system, and demonstrate different approaches for maintaining data integrity.

SPEAKER BIO:  Brian O’Neill

ONEILLBrian O’Neill (@boneill42) is a technology leader and recognized authority on big data. He leads and contributes to open-source projects involving distributed storage, real-time computation, and analytics. He won InfoWorld’s Technology Leadership award in 2013 and was selected as a Datastax Cassandra MVP in 2012 and 2013. He authored the Dzone reference card on Cassandra and recently published a book on distributed processing titled, Storm Blueprints: Patterns for Distributed Real-time Computation. He holds patents in artificial intelligence and data management. Brian is an alumnus of Brown University and holds a B.S. in C.S.

Presently, Brian is CTO for Health Market Science (HMS), where he heads the development of their big data platform focused on analytics and data management for the healthcare space. The platform is powered by Storm and Cassandra and delivers real-time data management and analytics as a service.

MEETING SLIDES:  On Slideshare here

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