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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

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Product type Paperback
Published in Jul 2014
Publisher Packt
ISBN-13 9781783558964
Length 254 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Rohit Menon Rohit Menon
Author Profile Icon Rohit Menon
Rohit 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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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with Apache Hadoop FREE CHAPTER 2. HDFS and MapReduce 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

Understanding the Cloudera Manager architecture

Before we go into installing and using Cloudera Manager, you need to understand the architecture of Cloudera Manager and how it functions. Cloudera Manager is composed of the following two parts:

  • Cloudera Manager Server
  • Cloudera Manager Agent

The following diagram depicts the Cloudera Manager architecture:

Understanding the Cloudera Manager architecture

The Cloudera Manager Server is the master service that manages the data model of the entire cluster in a database. The data model contains information regarding the services, roles, and configurations assigned for each node in the cluster.

The Cloudera Manager Server is responsible for performing the following functions:

  • It communicates with Cloudera Manager Agents that are installed on each node of the cluster and assigns tasks as well as checking the health of each agent by monitoring its periodic heartbeats.
  • It provides an administrator web interface for the end user to perform administrator operations.
  • It calculates and displays dashboards of...
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Authors (1)

Profile icon 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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