Book Image

Cloudera Administration Handbook

By : Rohit Menon
Book Image

Cloudera Administration Handbook

By: Rohit Menon

Overview of this book

Table of Contents (17 chapters)
Cloudera Administration Handbook
Credits
Notice
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Preface

Apache Hadoop is an open source distributed computing technology that assists users in processing large volumes of data with relative ease, helping them to generate tremendous insights into their data. Cloudera, with their open source distribution of Hadoop, has made data analytics on Big Data possible and accessible to anyone interested.

This book fully prepares you to be a Hadoop administrator, with special emphasis on Cloudera. It provides step-by-step instructions on setting up and managing a robust Hadoop cluster running Cloudera's Distribution Including Apache Hadoop (CDH).

This book starts out by giving you a brief introduction to Apache Hadoop and Cloudera. You will then move on to learn about all the tools and techniques needed to set up and manage a production-standard Hadoop cluster using CDH and Cloudera Manager.

In this book, you will learn the Hadoop architecture by understanding the different features of HDFS and walking through the entire flow of a MapReduce process. With this understanding, you will start exploring the different applications packaged into CDH and will follow a step-by-step guide to set up HDFS High Availability (HA) and HDFS Federation.

You will learn to use Cloudera Manager, Cloudera's cluster management application. Using Cloudera Manager, you will walk through the steps to configure security using Kerberos, learn about events and alerts, and also configure backups.

What this book covers

Chapter 1, Getting Started with Apache Hadoop, introduces you to Apache Hadoop and walks you through the different Apache Hadoop daemons.

Chapter 2, HDFS and MapReduce, provides you with an in-depth understanding of HDFS and MapReduce.

Chapter 3, Cloudera's Distribution Including Apache Hadoop, introduces you to Cloudera's Apache Hadoop Distribution and walks you through its installation steps.

Chapter 4, Exploring HDFS Federation and Its High Availability, introduces you to the steps to configure a federated HDFS and also provides step-by-step instructions to set up HDFS High Availability.

Chapter 5, Using Cloudera Manager, introduces you to Cloudera Manager, Cloudera's cluster management application and walks you through the steps to install Cloudera Manager.

Chapter 6, Implementing Security Using Kerberos, walks you through the steps to secure your cluster by configuring Kerberos.

Chapter 7, Managing an Apache Hadoop Cluster, introduces you to all the cluster management capabilities available within Cloudera Manager.

Chapter 8, Cluster Monitoring Using Events and Alerts, introduces you to the different events and alerts available within Cloudera Manager that will assist you in monitoring your cluster effectively.

Chapter 9, Configuring Backups, walks you through the steps to configure backups and snapshots using Cloudera Manager.

What you need for this book

You will need access to a cluster of around three to four nodes (physical server or virtual machines) running Linux, preferably the CentOS distribution. The steps to acquire the software needed is explained in detail in this book.

Who this book is for

This book is ideal for anyone interested in administering an Apache Hadoop cluster. This book will prove to be a good guide for administrators managing clusters running Cloudera's Distribution Including Apache Hadoop (CDH) and will be introduced to the various tools and techniques such as cluster management, security, monitoring, and backups. The reader will acquire all the knowledge required to run production scale clusters ranging from a few nodes to thousands of nodes.

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "It is important to note that the fsimage file is not updated for every write operation."

A block of code is set as follows:

<property>
  <name>dfs.namenode.servicerpc-address</name>
  <value>node1.hcluster:8022</value>
</property>

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

$ sudo yum install flume-ng
$ sudo yum install flume-ng-agent

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "The Coordinators tab lists all the coordinator applications that have been configured in Oozie."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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