Spark 2.0 Technical Preview
Given that all the big data talk lately has been about GPU computing/TensorFlow, I'm glad to see that this Spark update shows in-memory computing is still viable. (Much cheaper to play with too!)<p>The key feature for me is Machine Learning functions in R, which otherwise lacks parallelizeable and scalable options. (Without resorting to black magic, anyways)