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  • Book Overview & Buying Cloudera Administration Handbook
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Cloudera Administration Handbook

Cloudera Administration Handbook

By : Menon
3.5 (10)
Buy this Book
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Cloudera Administration Handbook

Cloudera Administration Handbook

3.5 (10)
By: Menon
Buy this Book

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

Understanding the CDH components

As mentioned earlier, there are several top-level Apache open source projects that are part of CDH. Let's discuss these components in detail.

Apache Hadoop

CDH comes with Apache Hadoop, a system that we have already been introduced to, for high-volume storage and computing. The subcomponents that are part of Hadoop are HDFS, Fuse-DFS, MapReduce, and MapReduce 2 (YARN). Fuse-DFS is a module that helps to mount HDFS to the user space. Once mounted, HDFS will be accessible like any other traditional filesystem.

Apache Flume NG

Apache Flume NG Version 1.x is a distributed framework that handles the collection and aggregation of large amounts of log data. This project was primarily built to handle streaming data. Flume is robust, reliable, and fault tolerant. Though Flume was built to handle the streaming of log data, its flexibility when handling multiple data sources makes it easy to configure it to handle event data. Flume can handle almost any kind of data...

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