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

Philip Kromer; Jurney, Russell

ISBN 10: 1491923946 / ISBN 13: 9781491923948

Published by O'Reilly Media (edition 1), 2015

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 1491923946-8-1

Bibliographic Details

• Title: Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice
• Publisher: O'Reilly Media (edition 1)
• Publication Date: 2015
• Language: English
• ISBN 10: 1491923946
• ISBN 13: 9781491923948
• Binding: Paperback
• Edition: 1.
• Condition: Very Good

About this title

Synopsis

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

About the Authors

Flip is the founder and CTO at Infochimps.com, a big data platform that makes acquiring, storing and analyzing massive data streams transformatively easier. He enjoys Bowling, Scrabble, working on old cars or new wood, and rooting for the Red Sox.

Russell Jurney cut his data teeth in casino gaming, building web apps to analyze the performance of slot machines in the US and Mexico. After dabbling in entrepreneurship, interactive media and journalism, he moved to silicon valley to build analytics applications at scale at Ning and LinkedIn. He lives on the ocean in Pacifica, California with his wife Kate and two fuzzy dogs.