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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
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Author (1):
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Rohit Menon Rohit Menon
Author Profile Icon Rohit Menon
Rohit Menon
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Table of Contents (11) Chapters Close

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