Hadoop is about more than MapReduce these days. The toolset is growing, the technology is maturing, and it’s being stretched and squeezed in all sorts of new directions. Variety and growth are great, but they also open up a whole new set of questions.
How can you use new languages like Clojure, F#, Pig and HQL to get the best out of huge amounts of data? How can you use massive clusters of CPUs to make real-time apps with new frameworks like YARN and Tez that make Hadoop 2.0? By the end of this session you'll know how and, more importantly, you’ll know when it’s a good idea.
Sign in to add slides, notes or videos to this session