Fast Data Processing with Spark Second Edition - Softcover

Fast Data Processing with Spark - Second Edition is for software developers who want to learn how to write distributed programs with Spark. It will help developers who have had problems that were too big to be dealt with on a single computer. No previous experience with distributed programming is necessary. This book assumes knowledge of either Java, Scala, or Python.

Krishna Sankar is a chief data scientist at http://www.blackarrow.tv/, where he focuses on optimizing user experiences via inference, intelligence, and interfaces. His earlier roles include principal architect, data scientist at Tata America Intl, director of a data science and bioinformatics start-up, and a distinguished engineer at Cisco. He has spoken at various conferences, such as Strata-Sparkcamp, OSCON, Pycon, and Pydata about predicting NFL (http://goo.gl/movfds), Spark (http://goo.gl/E4kqMD), data science (http://goo.gl/9pyJMH), machine learning (http://goo.gl/SXF53n), and social media analysis (http://goo.gl/D9YpVQ). He was a guest lecturer at Naval Postgraduate School, Monterey. His blogs can be found at https://doubleclix.wordpress.com/. His other passion is Lego Robotics. You can find him at the St. Louis FLL World Competition as the robots design judge. Holden Karau is a software development engineer and is active in the open source sphere. She has worked on a variety of search, classification, and distributed systems problems at Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a bachelor's of mathematics degree in computer science. Other than software, she enjoys playing with fire and hula hoops, and welding.