Book Image

Cloudera Administration Handbook

By : Menon
Book Image

Cloudera Administration Handbook

By: Menon

Overview of this book

An easy-to-follow Apache Hadoop administrator’s guide filled with practical screenshots and explanations for each step and configuration. This book is great for administrators interested in setting up and managing a large Hadoop cluster. If you are an administrator, or want to be an administrator, and you are ready to build and maintain a production-level cluster running CDH5, then this book is for you.

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Current Title:

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Cloudera Administration Handbook
Menon
Jul, 2014 | 254 pages
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Table of Contents (11 chapters)
Preface
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Getting Started with Apache Hadoop
1. Getting Started with Apache Hadoop
History of Apache Hadoop and its trends
Components of Apache Hadoop
Understanding the Apache Hadoop daemons
Introducing Cloudera
Introducing CDH
Responsibilities of a Hadoop administrator
Summary
2
2. HDFS and MapReduce
2. HDFS and MapReduce
Essentials of HDFS
The read/write operational flow in HDFS
Understanding the namenode UI
Understanding the secondary namenode UI
Exploring HDFS commands
Getting acquainted with MapReduce
Summary
3
3. Cloudera's Distribution Including Apache Hadoop
3. Cloudera's Distribution Including Apache Hadoop
Getting started with CDH
Understanding the CDH components
Installing CDH
Installing the CDH components
Summary
4
4. Exploring HDFS Federation and Its High Availability
4. Exploring HDFS Federation and Its High Availability
Implementing HDFS Federation
Implementing HDFS High Availability
Jobtracker high availability
Summary
5
5. Using Cloudera Manager
5. Using Cloudera Manager
Introducing Cloudera Manager
Understanding the Cloudera Manager architecture
Installing Cloudera Manager
Navigating the Cloudera Manager Web console
Configuring High Availability using Cloudera Manager
Summary
6
6. Implementing Security Using Kerberos
6. Implementing Security Using Kerberos
Understanding authentication and authorization
Introducing Kerberos
Understanding the Kerberos Architecture
Installing Kerberos
Configuring Kerberos for Apache Hadoop
Authorization in Apache Hadoop
Summary
7
7. Managing an Apache Hadoop Cluster
7. Managing an Apache Hadoop Cluster
Configuring Hadoop services using Cloudera Manager
Role management in Cloudera Manager
Managing hosts using Cloudera Manager
Managing multiple clusters with Cloudera Manager
Rebalancing a Hadoop cluster from Cloudera Manager
Summary
8
8. Cluster Monitoring Using Events and Alerts
8. Cluster Monitoring Using Events and Alerts
Monitoring Hadoop services from Cloudera Manager
Understanding events and alerts
Summary
9
9. Configuring Backups
9. Configuring Backups
Understanding backups
Understanding HDFS backups
Using the distributed copy (DistCp)
Configuring backups using Cloudera Manager
Summary
10
Index
Index

Chapter 2. HDFS and MapReduce

We now have a basic understanding of the Apache Hadoop architecture and its inner workings. In this chapter, we will dive deeper into the two major components of Apache Hadoop—HDFS and MapReduce, and will cover the following topics:

  • Essentials of Hadoop Distributed File System
  • The read/write operational flow in HDFS
  • Exploring HDFS commands
  • Getting acquainted with MapReduce
Previous Section
End of Section 1
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