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Cloudera Administration Handbook

You're reading from Cloudera Administration Handbook A complete, hands-on guide to building and maintaining large Apache Hadoop clusters using Cloudera Manager and CDH5

Product type Paperback

Published in Jul 2014

Publisher Packt

ISBN-13 9781783558964

Length 254 pages

Edition 1st Edition

Tools

CentOS

Concepts

Cloud Computing

Author (1):

Rohit Menon

View More author details

Table of Contents (11) Chapters

Preface

1. Getting Started with Apache Hadoop

2. HDFS and MapReduce FREE CHAPTER

3. Cloudera's Distribution Including Apache Hadoop

4. Exploring HDFS Federation and Its High Availability

5. Using Cloudera Manager

6. Implementing Security Using Kerberos

7. Managing an Apache Hadoop Cluster

8. Cluster Monitoring Using Events and Alerts

9. Configuring Backups

Index

Installing CDH

With a good background knowledge of CDH and its components, let's go ahead and install CDH on a cluster. The remainder of this chapter is going to be hands-on, and we will try to cover everything that is needed to get a fully functional cluster that runs CDH5.

CDH can be installed using one of the following two methods:

Installation using the operating system's package manager (yum/rpm)
Installation using Cloudera Manager

In this section, we will cover installation using the operating system's package manager. Installation of CDH using Cloudera Manager will be covered in Chapter 5, Using Cloudera Manager.

For the installation, we will be using four servers that run CentOS 6.4 (64-bit) as the operating system.

The following diagram shows a simple four-node Hadoop cluster that runs MapReduce Version 1 (MRv1):

Installing CDH

By performing the following installation instructions, we will try to configure our cluster to look like the one shown in the preceding diagram:

The first step...

The rest of the chapter is locked

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Authors (1)

Menon

Menon

Rohit Menon is a senior system analyst living in Denver, Colorado. He has over 7 years of experience in the field of Information Technology, which started with the role of a real-time applications developer back in 2006. He now works for a product-based company specializing in software for large telecom operators. He graduated with a master's degree in Computer Applications from University of Pune, where he built an autonomous maze-solving robot as his final year project. He later joined a software consulting company in India where he worked on C#, SQL Server, C++, and RTOS to provide software solutions to reputable organizations in USA and Japan. After this, he started working for a product-based company where most of his time was dedicated to programming the finer details of products using C++, Oracle, Linux, and Java. He is a person who always likes to learn new technologies and this got him interested in web application development. He picked up Ruby, Ruby on Rails, HTML, JavaScript, CSS, and built www.flicksery.com, a Netflix search engine that makes searching for titles on Netflix much easier. On the Hadoop front, he is a Cloudera Certified Apache Hadoop Developer. He blogs at www.rohitmenon.com, mainly on topics related to Apache Hadoop and its components. To share his learning, he has also started www.hadoopscreencasts.com, a website that teaches Apache Hadoop using simple, short, and easy-to-follow screencasts. He is well versed with wide variety of tools and techniques such as MapReduce, Hive, Pig, Sqoop, Oozie, and Talend Open Studio.

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