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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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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

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
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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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