Apache Spark has grown to one of the largest open source communities in big data, with over 120 developers and 30 companies contributing, including contributions from 83 people in the latest v0.9 release alone. A clean API, interactive shell, distributed in-memory computation, stream processing, interactive SQL, and libraries delivering everything from machine learning to graph computing make it an excellent unified platform to solve a number of problems. And it's completely compatible with Hadoop, from accessing any data in HDFS, to running on YARN, all of which contribute to why it's rapidly becoming the developer's tool of choice for unlocking your Hadoop data.
Come learn about Apache Spark, work on some mini-labs, and see how easy it is for you to get started using Spark to build your own big data applications.
There will be lots of booze and catered meals