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Fast Data Processing with Spark (2nd Revised edition) (Repost)

Posted By: bookwyrm
Fast Data Processing with Spark (2nd Revised edition) (Repost)

Fast Data Processing with Spark (2nd Revised edition) By Krishna Sankar, Holden Karau
2015 | 184 Pages | ISBN: 178439257X | PDF | 9 MB


Perform real-time analytics using Spark in a fast, distributed, and scalable way About This Book Develop a machine learning system with Spark's MLlib and scalable algorithms Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on This is a step-by-step tutorial that unleashes the power of Spark and its latest features Who This Book Is For 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. What You Will Learn Install and set up Spark on your cluster Prototype distributed applications with Spark's interactive shell Learn different ways to interact with Spark's distributed representation of data (RDDs) Query Spark with a SQL-like query syntax Effectively test your distributed software Recognize how Spark works with big data Implement machine learning systems with highly scalable algorithms