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Big Data For Dummies
book

Big Data For Dummies

by Judith Hurwitz, Alan Nugent, Dr. Fern Halper, Marcia Kaufman
April 2013
Beginner to intermediate
336 pages
8h 14m
English
For Dummies
Content preview from Big Data For Dummies

Chapter 9

Exploring the World of Hadoop

In This Chapter

arrow Discovering Hadoop and why it’s so important

arrow Exploring the Hadoop Distributed File System

arrow Digging into Hadoop MapReduce

arrow Putting Hadoop to work

When you need to process big data sources, traditional approaches fall short. The volume, velocity, and variety of big data will bring most technologies to their knees, so new technologies had to be created to address this new challenge. MapReduce is one of those new technologies, but it is just an algorithm, a recipe for how to make sense of all the data. To get the most from MapReduce, you need more than just an algorithm. You need a collection of products and technologies designed to handle the challenges presented by big data.

Explaining Hadoop

Search engine innovators like Yahoo! and Google needed to find a way to make sense of the massive amounts of data that their engines were collecting. These companies needed to both understand what information they were gathering and how they could monetize that data to support their business model. Hadoop was developed because it represented ...

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Publisher Resources

ISBN: 9781118644171Purchase book