Description: 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
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EAN: 9781491923948
UPC: 9781491923948
ISBN: 9781491923948
MPN: N/A
Number of Pages: 217 Pages
Publication Name: Big Data for Chimps : a Guide to Massive-Scale Data Processing in Practice
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 0.5 in
Subject: Programming / General, Databases / Data Mining, Databases / General
Publication Year: 2015
Item Weight: 13.4 Oz
Type: Textbook
Item Length: 9.1 in
Subject Area: Computers
Author: Russell Jurney, Philip (Flip) Kromer
Item Width: 7 in
Format: Trade Paperback
