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Hadoop: The Definitive Guide White, Tom Acceptable Book 0 Paperback
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Item specifics
- Condition
- ISBN
- 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
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
3
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;
Copyright Date
2012
Target Audience
Scholarly & Professional
Dewey Decimal
005.74
Dewey Edition
23
Illustrated
Yes
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eBay item number:314686313567
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