NoSQL and Big Data with Scala/Clojure : Neo4J - Twitter Storm

Agenda

18.30 - 18.40 : Opening

18.40 - 18.45 : Group Update

18.45 - 19.15 : Neo4J / Scala by Pascal Cohen

19.15 - 20.00 : Twitter Storm by Paul de Schacht

Hot News: Manning will give away a free ebook for the meetup! We will draw a winner at the end of the meetup, and the winner will have a free ebook. So come and join us.

Writing Scala/Lift Application for Neo4J

Pascal Cohen will lead the session

Pascal will present his project on developing Scala application using Neo4J graph database. But he will specifically explain his personal experience starting with Scala and build a significant application using Lift as web framework, SBT as build tools, and Neo4J as the database.

Storm: Real Time Distributed Computation

Paul de Schacht will lead the session

When we talk about map-reduce, distribution data processing, Hadoop might be the first name we mentioned. The heart of Hadoop is map-reduce algorithms that enables such computation. Using Hadoop, it is possible to perform computation of Petabytes of data. But actually there are myriad frameworks like Hadoop.

Storm is a system like Hadoop, but unlike Hadoop that is more for batch processing, Storm is intended for real time map-reduce processing. It's a new project, but it's already gained a lot of attention. Although Storm can be used seamlessly in any JVM languages, majority of the framework is written in Clojure. Storm is, by the way, used by Twitter.

During this discussion, we will see what use cases Storm are good at, some basic notions of Storm,like topology, nimbus, spout and bolt. Maybe the most interesting part of the discussion is its real use in a system with big data in Amadeus context.

Join us.

More on Storm: https://github.com/nathanmarz/storm/wiki

Video: http://infoq.com/presentations/Storm