Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice

By Philip (flip) Kromer, Russell Jurney, Philip Kromer

Book Overview

Finding patterns in massive event streams can be difficult, but learning how to find them doesn t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You ll gain a practical, actionable view of big data by working with real data and real problems.

Perfect for beginners, this book s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you ll also learn how to use Apache Pig to process data. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset baseball performance statistics throughout the book Work with examples of several analytic patterns, and learn when and where you might use them

• Format: Paperback
• Language: English
• ISBN: 1491923946
• ISBN13: 9781491923948
• Release Date: October 2015
• Publisher: O'Reilly Media
• Length: 217 Pages
• Weight: 0.90 lbs.
• Dimensions: 0.4" x 7.0" x 9.2"