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Hadoop: The Definitive Guide By Tom White. 9781449311520

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Condition: Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ... Very Good: A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab

Author: Tom White

ISBN: 9781449311520

EAN: 9781449311520

Subject Area: Computers

Publication Name: Hadoop: the Definitive Guide

Item Length: 9.2 in

Publisher: O'reilly Media, Incorporated

Subject: Client-Server Computing, Programming / Parallel, General, Data Processing

Publication Year: 2012

Type: Textbook

Format: Trade Paperback

Language: English

Item Height: 1.5 in

Item Width: 7 in

Item Weight: 40.3 Oz

Number of Pages: 688 Pages

About this product

Product Information

Ready to unleash the power of your massive dataset? With the latest edition of this comprehensive resource, you'll learn how to use Apache Hadoop to build and maintain reliable, scalable, distributed systems. It's ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters.

Product Identifiers

Publisher

O'reilly Media, Incorporated

ISBN-10

1449311520

ISBN-13

9781449311520

eBay Product ID (ePID)

111793772

Product Key Features

Author

Tom White

Publication Name

Hadoop: the Definitive Guide

Format

Trade Paperback

Language

English

Subject

Client-Server Computing, Programming / Parallel, General, Data Processing

Publication Year

2012

Type

Textbook

Subject Area

Computers

Number of Pages

688 Pages

Dimensions

Item Length

9.2 in

Item Height

1.5 in

Item Width

7 in

Item Weight

40.3 Oz

Additional Product Features

Edition Number

Lc Classification Number

Qa76.9.F5

Table of Content

Foreword;Preface; Administrative Notes; What's in This Book?; What's New in the Second Edition?; What's New in the Third Edition?; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Acknowledgments;Chapter 1: Meet Hadoop; 1.1 Data!; 1.2 Data Storage and Analysis; 1.3 Comparison with Other Systems; 1.4 A Brief History of Hadoop; 1.5 Apache Hadoop and the Hadoop Ecosystem; 1.6 Hadoop Releases;Chapter 2: MapReduce; 2.1 A Weather Dataset; 2.2 Analyzing the Data with Unix Tools; 2.3 Analyzing the Data with Hadoop; 2.4 Scaling Out; 2.5 Hadoop Streaming; 2.6 Hadoop Pipes;Chapter 3: The Hadoop Distributed Filesystem; 3.1 The Design of HDFS; 3.2 HDFS Concepts; 3.3 The Command-Line Interface; 3.4 Hadoop Filesystems; 3.5 The Java Interface; 3.6 Data Flow; 3.7 Data Ingest with Flume and Sqoop; 3.8 Parallel Copying with distcp; 3.9 Hadoop Archives;Chapter 4: Hadoop I/O; 4.1 Data Integrity; 4.2 Compression; 4.3 Serialization; 4.4 Avro; 4.5 File-Based Data Structures;Chapter 5: Developing a MapReduce Application; 5.1 The Configuration API; 5.2 Setting Up the Development Environment; 5.3 Writing a Unit Test with MRUnit; 5.4 Running Locally on Test Data; 5.5 Running on a Cluster; 5.6 Tuning a Job; 5.7 MapReduce Workflows;Chapter 6: How MapReduce Works; 6.1 Anatomy of a MapReduce Job Run; 6.2 Failures; 6.3 Job Scheduling; 6.4 Shuffle and Sort; 6.5 Task Execution;Chapter 7: MapReduce Types and Formats; 7.1 MapReduce Types; 7.2 Input Formats; 7.3 Output Formats;Chapter 8: MapReduce Features; 8.1 Counters; 8.2 Sorting; 8.3 Joins; 8.4 Side Data Distribution; 8.5 MapReduce Library Classes;Chapter 9: Setting Up a Hadoop Cluster; 9.1 Cluster Specification; 9.2 Cluster Setup and Installation; 9.3 SSH Configuration; 9.4 Hadoop Configuration; 9.5 YARN Configuration; 9.6 Security; 9.7 Benchmarking a Hadoop Cluster; 9.8 Hadoop in the Cloud;Chapter 10: Administering Hadoop; 10.1 HDFS; 10.2 Monitoring; 10.3 Maintenance;Chapter 11: Pig; 11.1 Installing and Running Pig; 11.2 An Example; 11.3 Comparison with Databases; 11.4 Pig Latin; 11.5 User-Defined Functions; 11.6 Data Processing Operators; 11.7 Pig in Practice;Chapter 12: Hive; 12.1 Installing Hive; 12.2 An Example; 12.3 Running Hive; 12.4 Comparison with Traditional Databases; 12.5 HiveQL; 12.6 Tables; 12.7 Querying Data; 12.8 User-Defined Functions;Chapter 13: HBase; 13.1 HBasics; 13.2 Concepts; 13.3 Installation; 13.4 Clients; 13.5 Example; 13.6 HBase Versus RDBMS; 13.7 Praxis;Chapter 14: ZooKeeper; 14.1 Installing and Running ZooKeeper; 14.2 An Example; 14.3 The ZooKeeper Service; 14.4 Building Applications with ZooKeeper; 14.5 ZooKeeper in Production;Chapter 15: Sqoop; 15.1 Getting Sqoop; 15.2 Sqoop Connectors; 15.3 A Sample Import; 15.4 Generated Code; 15.5 Imports: A Deeper Look; 15.6 Working with Imported Data; 15.7 Importing Large Objects; 15.8 Performing an Export; 15.9 Exports: A Deeper Look;Chapter 16: Case Studies; 16.1 Hadoop Usage at Last.fm; 16.2 Hadoop and Hive at Facebook; 16.3 Nutch Search Engine; 16.4 Log Processing at Rackspace; 16.5 Cascading; 16.6 TeraByte Sort on Apache Hadoop; 16.7 Using Pig and Wukong to Explore Billion-edge Network Graphs;Installing Apache Hadoop; Prerequisites; Installation; Configuration;Cloudera's Distribution Including Apache Hadoop;Preparing the NCDC Weather Data;Colophon;

2012

Target Audience

Scholarly & Professional

Dewey Decimal

005.74

Dewey Edition

Illustrated

Yes

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eBay item number:393465796357

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