Hadoop: The Definitive Guide

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Overview

Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.

You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including ...

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Hadoop: The Definitive Guide: The Definitive Guide

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Overview

Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.

You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new MapReduce API, as well as MapReduce 2 and its more flexible execution model (YARN).

  • Store large datasets with the Hadoop Distributed File System (HDFS)
  • Run distributed computations with MapReduce
  • Use Hadoop’s data and I/O building blocks for compression, data integrity, serialization (including Avro), and persistence
  • Discover common pitfalls and advanced features for writing real-world MapReduce programs
  • Design, build, and administer a dedicated Hadoop cluster—or run Hadoop in the cloud
  • Load data from relational databases into HDFS, using Sqoop
  • Perform large-scale data processing with the Pig query language
  • Analyze datasets with Hive, Hadoop’s data warehousing system
  • Take advantage of HBase for structured and semi-structured data, and ZooKeeper for building distributed systems
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Product Details

  • ISBN-13: 9780596521974
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 6/28/2009
  • Edition description: Original
  • Edition number: 1
  • Pages: 528
  • Product dimensions: 7.00 (w) x 9.10 (h) x 1.30 (d)

Meet the Author

Tom White has been an Apache Hadoop committer since February 2007, and is a member of the Apache Software Foundation. He works for Cloudera, a company set up to offer Hadoop support and training. Previously he was as an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. He has written numerous articles for O'Reilly, java.net and IBM's developerWorks, and has spoken at several conferences, including at ApacheCon 2008 on Hadoop. Tom has a Bachelor's degree in Mathematics from the University of Cambridge and a Master's in Philosophy of Science from the University of Leeds, UK.

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Table of Contents

Foreword

Preface

Chapter 1: Meet Hadoop

Chapter 2: MapReduce

Chapter 3: The Hadoop Distributed Filesystem

Chapter 4: Hadoop I/O

Chapter 5: Developing a MapReduce Application

Chapter 6: How MapReduce Works

Chapter 7: MapReduce Types and Formats

Chapter 8: MapReduce Features

Chapter 9: Setting Up a Hadoop Cluster

Chapter 10: Administering Hadoop

Chapter 11: Pig

Chapter 12: Hive

Chapter 13: HBase

Chapter 14: ZooKeeper

Chapter 15: Sqoop

Chapter 16: Case Studies

Installing Apache Hadoop

Cloudera’s Distribution Including Apache Hadoop

Preparing the NCDC Weather Data

Colophon

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Customer Reviews

Average Rating 4.5
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Sort by: Showing all of 4 Customer Reviews
  • Posted January 8, 2014

    the hadoop book

    opening with an architecture overview and then goes through the components. Hands-on with dataset and step by step from hadoop installation to actually write code and process data to generate output. If you have time only for one book, then this one is.

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    Posted May 21, 2011

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    Posted May 15, 2011

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