num_pages: 276
description: Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3  this book introduces Apache Spark the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark you can tackle big datasets quickly through simple APIs in Python Java and Scala. This edition includes new information on Spark SQL Spark Streaming setup and Maven coordinates. Written by the developers of Spark this book will have data scientists and engineers up and running in no time. Youll learn how to express parallel jobs with just a few lines of code and cover applications from simple batch jobs to stream processing and machine learning.
language: English
title: Learning Spark: Lightning-Fast Big Data Analysis
publisher: O'Reilly Media