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.
Everyone is awash in the new buzzword, Big Data, and it seems as if you can’t escape it wherever you go. But there are real companies with real use cases creating real value for their businesses by using big data. This talk will discuss some of the more compelling current or recent projects, their architecture & systems used, and successful outcomes.
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 is simple, can be used with any programming language, and is a lot of fun to use! We will talk about how Storm is architected, how to interoperate with Hadoop, and a few real-world use-cases.