Home > Store

Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem

Register your product to gain access to bonus material or receive a coupon.

Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem

Best Value Purchase

Book + eBook Bundle

  • Your Price: $37.79
  • List Price: $62.98
  • Includes EPUB, MOBI, and PDF
  • About eBook Formats
  • This eBook includes the following formats, accessible from your Account page after purchase:

    ePub EPUB The open industry format known for its reflowable content and usability on supported mobile devices.

    MOBI MOBI The eBook format compatible with the Amazon Kindle and Amazon Kindle applications.

    Adobe Reader PDF The popular standard, used most often with the free Adobe® Reader® software.

    This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

More Purchase Options

Book

  • Your Price: $27.99
  • List Price: $34.99
  • Usually ships in 24 hours.

eBook (Watermarked)

  • Your Price: $22.39
  • List Price: $27.99
  • Includes EPUB, MOBI, and PDF
  • About eBook Formats
  • This eBook includes the following formats, accessible from your Account page after purchase:

    ePub EPUB The open industry format known for its reflowable content and usability on supported mobile devices.

    MOBI MOBI The eBook format compatible with the Amazon Kindle and Amazon Kindle applications.

    Adobe Reader PDF The popular standard, used most often with the free Adobe® Reader® software.

    This eBook requires no passwords or activation to read. We customize your eBook by discreetly watermarking it with your name, making it uniquely yours.

About

Features

  • Helps students get Hadoop up and running fast with clear, well-tested beginner-level instructions and examples
  • Includes hands-on coverage: HDFS, running programs, benchmarking, MapReduce, higher-level tools, YARN, administration, and more
  • Demystifies Hadoop 2

Description

  • Copyright 2016
  • Dimensions: 7" x 9-1/8"
  • Pages: 304
  • Edition: 1st
  • Book
  • ISBN-10: 0-13-404994-2
  • ISBN-13: 978-0-13-404994-6

Get Started Fast with Apache Hadoop® 2, YARN, and Today’s Hadoop Ecosystem

With Hadoop 2.x and YARN, Hadoop moves beyond MapReduce to become practical for virtually any type of data processing. Hadoop 2.x and the Data Lake concept represent a radical shift away from conventional approaches to data usage and storage. Hadoop 2.x installations offer unmatched scalability and breakthrough extensibility that supports new and existing Big Data analytics processing methods and models.

Hadoop® 2 Quick-Start Guide is the first easy, accessible guide to Apache Hadoop 2.x, YARN, and the modern Hadoop ecosystem. Building on his unsurpassed experience teaching Hadoop and Big Data, author Douglas Eadline covers all the basics you need to know to install and use Hadoop 2 on personal computers or servers, and to navigate the powerful technologies that complement it.

Eadline concisely introduces and explains every key Hadoop 2 concept, tool, and service, illustrating each with a simple “beginning-to-end” example and identifying trustworthy, up-to-date resources for learning more.

This guide is ideal if you want to learn about Hadoop 2 without getting mired in technical details. Douglas Eadline will bring you up to speed quickly, whether you’re a user, admin, devops specialist, programmer, architect, analyst, or data scientist.

Coverage Includes

  • Understanding what Hadoop 2 and YARN do, and how they improve on Hadoop 1 with MapReduce
  • Understanding Hadoop-based Data Lakes versus RDBMS Data Warehouses
  • Installing Hadoop 2 and core services on Linux machines, virtualized sandboxes, or clusters
  • Exploring the Hadoop Distributed File System (HDFS)
  • Understanding the essentials of MapReduce and YARN application programming
  • Simplifying programming and data movement with Apache Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • Observing application progress, controlling jobs, and managing workflows
  • Managing Hadoop efficiently with Apache Ambari–including recipes for HDFS to NFSv3 gateway, HDFS snapshots, and YARN configuration
  • Learning basic Hadoop 2 troubleshooting, and installing Apache Hue and Apache Spark

Extras

Companion Site

Please visit the website associated with Hadoop 2 Quick-Start Guide here.

Sample Content

Online Sample Chapter

Running MapReduce Example Programs and Benchmarks

Sample Pages

Download the sample pages (includes Chapter 4 and Index)

Table of Contents

Foreword         xi

Preface          xiii

Acknowledgments         xix

About the Author          xxi

Chapter 1: Background and Concepts         1

Defining Apache Hadoop  1

A Brief History of Apache Hadoop  3

Defining Big Data  4

Hadoop as a Data Lake  5

Using Hadoop: Administrator, User, or Both  6

First There Was MapReduce  7

Moving Beyond MapReduce with Hadoop V2   13

The Apache Hadoop Project Ecosystem   15

Summary and Additional Resources   18

Chapter 2: Installation Recipes         19

Core Hadoop Services   19

Planning Your Resources   21

Installing on a Desktop or Laptop   23

Installing Hadoop with Ambari   40

Installing Hadoop in the Cloud Using Apache Whirr   56

Summary and Additional Resources   62

Chapter 3: Hadoop Distributed File System Basics          63

Hadoop Distributed File System Design Features   63

HDFS Components   64

HDFS User Commands   72

HDFS Web GUI   77

Using HDFS in Programs   77

Summary and Additional Resources   83

Chapter 4: Running Example Programs and Benchmarks          85

Running MapReduce Examples   85

Running Basic Hadoop Benchmarks   95

Summary and Additional Resources   98

Chapter 5: Hadoop MapReduce Framework         101

The MapReduce Model   101

MapReduce Parallel Data Flow   104

Fault Tolerance and Speculative Execution   107

Summary and Additional Resources   109

Chapter 6: MapReduce Programming          111

Compiling and Running the Hadoop WordCount Example   111

Using the Streaming Interface   116

Using the Pipes Interface   119

Compiling and Running the Hadoop Grep Chaining Example   121

Debugging MapReduce   124

Summary and Additional Resources   128

Chapter 7: Essential Hadoop Tools         131

Using Apache Pig   131

Using Apache Hive   134

Using Apache Sqoop to Acquire Relational Data   139

Using Apache Flume to Acquire Data Streams   148

Manage Hadoop Workflows with Apache Oozie   154

Using Apache HBase   163

Summary and Additional Resources   169

Chapter 8: Hadoop YARN Applications          171

YARN Distributed-Shell   171

Using the YARN Distributed-Shell   172

Structure of YARN Applications   178

YARN Application Frameworks   179

Summary and Additional Resources   184

Chapter 9: Managing Hadoop with Apache Ambari          185

Quick Tour of Apache Ambari   186

Managing Hadoop Services   194

Changing Hadoop Properties   198

Summary and Additional Resources   204

Chapter 10: Basic Hadoop Administration Procedures           205

Basic Hadoop YARN Administration   206

Basic HDFS Administration   208

Capacity Scheduler Background   220

Hadoop Version 2 MapReduce Compatibility   222

Summary and Additional Resources   225

Appendix A: Book Webpage and Code Download          227

Appendix B: Getting Started Flowchart and Troubleshooting Guide         229

Getting Started Flowchart   229

General Hadoop Troubleshooting Guide   229

Appendix C: Summary of Apache Hadoop Resources by Topic          243

General Hadoop Information   243

Hadoop Installation Recipes   243

HDFS   244

Examples   244

MapReduce   245

MapReduce Programming   245

Essential Tools   245

YARN Application Frameworks   246

Ambari Administration   246

Basic Hadoop Administration   247

Appendix D: Installing the Hue Hadoop GUI         249

Hue Installation   249

Starting Hue   253

Hue User Interface   253

Appendix E: Installing Apache Spark         257

Spark Installation on a Cluster   257

Starting Spark across the Cluster   258

Installing and Starting Spark on the Pseudo-distributed Single-Node Installation   260

Run Spark Examples   260

Index         261

Updates

Submit Errata

More Information

InformIT Promotional Mailings & Special Offers

I would like to receive exclusive offers and hear about products from InformIT and its family of brands. I can unsubscribe at any time.

Overview


Pearson Education, Inc., 221 River Street, Hoboken, New Jersey 07030, (Pearson) presents this site to provide information about products and services that can be purchased through this site.

This privacy notice provides an overview of our commitment to privacy and describes how we collect, protect, use and share personal information collected through this site. Please note that other Pearson websites and online products and services have their own separate privacy policies.

Collection and Use of Information


To conduct business and deliver products and services, Pearson collects and uses personal information in several ways in connection with this site, including:

Questions and Inquiries

For inquiries and questions, we collect the inquiry or question, together with name, contact details (email address, phone number and mailing address) and any other additional information voluntarily submitted to us through a Contact Us form or an email. We use this information to address the inquiry and respond to the question.

Online Store

For orders and purchases placed through our online store on this site, we collect order details, name, institution name and address (if applicable), email address, phone number, shipping and billing addresses, credit/debit card information, shipping options and any instructions. We use this information to complete transactions, fulfill orders, communicate with individuals placing orders or visiting the online store, and for related purposes.

Surveys

Pearson may offer opportunities to provide feedback or participate in surveys, including surveys evaluating Pearson products, services or sites. Participation is voluntary. Pearson collects information requested in the survey questions and uses the information to evaluate, support, maintain and improve products, services or sites, develop new products and services, conduct educational research and for other purposes specified in the survey.

Contests and Drawings

Occasionally, we may sponsor a contest or drawing. Participation is optional. Pearson collects name, contact information and other information specified on the entry form for the contest or drawing to conduct the contest or drawing. Pearson may collect additional personal information from the winners of a contest or drawing in order to award the prize and for tax reporting purposes, as required by law.

Newsletters

If you have elected to receive email newsletters or promotional mailings and special offers but want to unsubscribe, simply email information@informit.com.

Service Announcements

On rare occasions it is necessary to send out a strictly service related announcement. For instance, if our service is temporarily suspended for maintenance we might send users an email. Generally, users may not opt-out of these communications, though they can deactivate their account information. However, these communications are not promotional in nature.

Customer Service

We communicate with users on a regular basis to provide requested services and in regard to issues relating to their account we reply via email or phone in accordance with the users' wishes when a user submits their information through our Contact Us form.

Other Collection and Use of Information


Application and System Logs

Pearson automatically collects log data to help ensure the delivery, availability and security of this site. Log data may include technical information about how a user or visitor connected to this site, such as browser type, type of computer/device, operating system, internet service provider and IP address. We use this information for support purposes and to monitor the health of the site, identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents and appropriately scale computing resources.

Web Analytics

Pearson may use third party web trend analytical services, including Google Analytics, to collect visitor information, such as IP addresses, browser types, referring pages, pages visited and time spent on a particular site. While these analytical services collect and report information on an anonymous basis, they may use cookies to gather web trend information. The information gathered may enable Pearson (but not the third party web trend services) to link information with application and system log data. Pearson uses this information for system administration and to identify problems, improve service, detect unauthorized access and fraudulent activity, prevent and respond to security incidents, appropriately scale computing resources and otherwise support and deliver this site and its services.

Cookies and Related Technologies

This site uses cookies and similar technologies to personalize content, measure traffic patterns, control security, track use and access of information on this site, and provide interest-based messages and advertising. Users can manage and block the use of cookies through their browser. Disabling or blocking certain cookies may limit the functionality of this site.

Do Not Track

This site currently does not respond to Do Not Track signals.

Security


Pearson uses appropriate physical, administrative and technical security measures to protect personal information from unauthorized access, use and disclosure.

Children


This site is not directed to children under the age of 13.

Marketing


Pearson may send or direct marketing communications to users, provided that

  • Pearson will not use personal information collected or processed as a K-12 school service provider for the purpose of directed or targeted advertising.
  • Such marketing is consistent with applicable law and Pearson's legal obligations.
  • Pearson will not knowingly direct or send marketing communications to an individual who has expressed a preference not to receive marketing.
  • Where required by applicable law, express or implied consent to marketing exists and has not been withdrawn.

Pearson may provide personal information to a third party service provider on a restricted basis to provide marketing solely on behalf of Pearson or an affiliate or customer for whom Pearson is a service provider. Marketing preferences may be changed at any time.

Correcting/Updating Personal Information


If a user's personally identifiable information changes (such as your postal address or email address), we provide a way to correct or update that user's personal data provided to us. This can be done on the Account page. If a user no longer desires our service and desires to delete his or her account, please contact us at customer-service@informit.com and we will process the deletion of a user's account.

Choice/Opt-out


Users can always make an informed choice as to whether they should proceed with certain services offered by InformIT. If you choose to remove yourself from our mailing list(s) simply visit the following page and uncheck any communication you no longer want to receive: www.informit.com/u.aspx.

Sale of Personal Information


Pearson does not rent or sell personal information in exchange for any payment of money.

While Pearson does not sell personal information, as defined in Nevada law, Nevada residents may email a request for no sale of their personal information to NevadaDesignatedRequest@pearson.com.

Supplemental Privacy Statement for California Residents


California residents should read our Supplemental privacy statement for California residents in conjunction with this Privacy Notice. The Supplemental privacy statement for California residents explains Pearson's commitment to comply with California law and applies to personal information of California residents collected in connection with this site and the Services.

Sharing and Disclosure


Pearson may disclose personal information, as follows:

  • As required by law.
  • With the consent of the individual (or their parent, if the individual is a minor)
  • In response to a subpoena, court order or legal process, to the extent permitted or required by law
  • To protect the security and safety of individuals, data, assets and systems, consistent with applicable law
  • In connection the sale, joint venture or other transfer of some or all of its company or assets, subject to the provisions of this Privacy Notice
  • To investigate or address actual or suspected fraud or other illegal activities
  • To exercise its legal rights, including enforcement of the Terms of Use for this site or another contract
  • To affiliated Pearson companies and other companies and organizations who perform work for Pearson and are obligated to protect the privacy of personal information consistent with this Privacy Notice
  • To a school, organization, company or government agency, where Pearson collects or processes the personal information in a school setting or on behalf of such organization, company or government agency.

Links


This web site contains links to other sites. Please be aware that we are not responsible for the privacy practices of such other sites. We encourage our users to be aware when they leave our site and to read the privacy statements of each and every web site that collects Personal Information. This privacy statement applies solely to information collected by this web site.

Requests and Contact


Please contact us about this Privacy Notice or if you have any requests or questions relating to the privacy of your personal information.

Changes to this Privacy Notice


We may revise this Privacy Notice through an updated posting. We will identify the effective date of the revision in the posting. Often, updates are made to provide greater clarity or to comply with changes in regulatory requirements. If the updates involve material changes to the collection, protection, use or disclosure of Personal Information, Pearson will provide notice of the change through a conspicuous notice on this site or other appropriate way. Continued use of the site after the effective date of a posted revision evidences acceptance. Please contact us if you have questions or concerns about the Privacy Notice or any objection to any revisions.

Last Update: November 17, 2020