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Abstract

Brad Anderson will give a talk about Storm and Hadoop. Storm is a distributed realtime computation system. Similar to how Hadoop provides a set of general primitives for doing batch processing, Storm provides a set of general primitives for doing realtime computation.
Storm often coexists in Big Data architectures with Hadoop. We will talk about different approaches to this interoperability between the systems, their benefits & trade-offs, and a new open source library available for high throughput use.

Speaker

Brad Anderson has been wrangling data for 20 years, more recently building and using non-relational data stores. He works as a solution architect, assisting clients in their use of MapR’s technology-leading Hadoop distribution. Previously, Brad has worked on a large-scale video-on-demand platform, smart grid analytics, a real-time audience participation platform, helped Cloudant build their hosted NoSQL offering based on CouchDB, and organized the NoSQL East 2009 conference in Atlanta.