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Programming Elastic MapReduce
book

Programming Elastic MapReduce

by Kevin Schmidt, Christopher Phillips
December 2013
Intermediate to advanced
171 pages
4h 16m
English
O'Reilly Media, Inc.
Content preview from Programming Elastic MapReduce

Preface

Many organizations have a treasure trove of data stored away in the many silos of information within them. To unlock this information and use it to compete in the marketplace, organizations have begun looking to Hadoop and “Big Data” as the key to gaining an advantage over their competition. Many organizations, however, lack the knowledgeable resources and data center space to launch large-scale Hadoop solutions for their data analysis projects.

Amazon Elastic MapReduce (EMR) is Amazon’s Hadoop solution, running in Amazon’s data center. Amazon’s solution is allowing organizations to focus on the data analysis problems they want to solve without the need to plan data center buildouts and maintain large clusters of machines. Amazon’s pay-as-you-go model is just another benefit that allows organizations to start these projects with no upfront costs and scale instantly as the project grows. We hope this book inspires you to explore Amazon Web Services (AWS) and Amazon EMR, and to use this book to help you launch your next great project with the power of Amazon’s cloud to solve your biggest data analysis problems.

This book focuses on the core Amazon technologies needed to build an application using AWS and EMR. We chose an application to analyze log data as our case study throughout this book to demonstrate the power of EMR. Log analysis is a good case study for many data analysis problems that organizations faced. Computer logfiles contain large amounts of diverse data from different ...

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Publisher Resources

ISBN: 9781449364038Errata Page