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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
2
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
3
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
4
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
6
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
10
Index
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Index

Introducing Kerberos

Kerberos is a network authentication protocol that has been designed to provide a robust authentication solution by employing secret key cryptography. Massachusetts Institute of Technology (MIT) has implemented a free version of this protocol, which is widely used.

Kerberos addresses the following requirements:

  • Kerberos makes it easy for users to log on and use the different resources on a network without having to go through the login procedure for access to each resource or service. In other words, Kerberos supports single sign-on access that would expect the user to log in only once into the system with seamless authorization to access the rest of the resources.

  • Distributed systems involve a large number of nodes connected to form a cluster, just like the Internet we use daily. These nodes could have malicious users that could take advantage of any flaws that exist in the network. Kerberos works well in such environments and protects the network from such users.

  • Kerberos...

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