Given that all the big data talk lately has been about GPU computing&#x2F;TensorFlow, I&#x27;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)