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Apache Hadoop 3 Quick Start Guide

You're reading from   Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Length 220 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Toc

Table of Contents (10) Chapters Close

Preface 1. Hadoop 3.0 - Background and Introduction FREE CHAPTER 2. Planning and Setting Up Hadoop Clusters 3. Deep Dive into the Hadoop Distributed File System 4. Developing MapReduce Applications 5. Building Rich YARN Applications 6. Monitoring and Administration of a Hadoop Cluster 7. Demystifying Hadoop Ecosystem Components 8. Advanced Topics in Apache Hadoop 9. Other Books You May Enjoy

To get the most out of this book

You won't need too much hardware to set up Hadoop. The minimum setup is a single machine / virtual machine, and the recommended setup is three machines.

It is better to have some hands-on experience of writing and running basic programs in Java, as well as some experience of using developer tools such as Eclipse.

Some understanding of the standard software development life cycle would be a plus.

As this is a quick-start guide, it does not provide complete coverage of all topics. Therefore, you will find links provided throughout the book o take you to the deep-dive of the given topic.

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at www.packt.com.
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Apache-Hadoop-3-Quick-Start-Guide. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Code in action

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "You will need the hadoop-client-<version>.jar file to be added".

A block of code is set as follows:

    <dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>3.1.0</version>
</dependency>
</dependencies>

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

<!-- Put site-specific property overrides in this file. --><configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://<master-host>:9000</value>
</property>
</configuration>

Any command-line input or output is written as follows:

hrishikesh@base0:/$ df -m

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Right-click on the project and run Maven install, as shown in the following screenshot".

Warnings or important notes appear like this.
Tips and tricks appear like this.
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