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Apache Flume: Distributed Log Collection for Hadoop

You're reading from  Apache Flume: Distributed Log Collection for Hadoop

Product type Book
Published in Jul 2013
Publisher Packt
ISBN-13 9781782167914
Pages 108 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (15) Chapters

Apache Flume: Distributed Log Collection for Hadoop
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Overview and Architecture 2. Flume Quick Start 3. Channels 4. Sinks and Sink Processors 5. Sources and Channel Selectors 6. Interceptors, ETL, and Routing 7. Monitoring Flume 8. There Is No Spoon – The Realities of Real-time Distributed Data Collection Index

Summary

In this chapter we discussed the problem that Flume is attempting to solve; getting data into your Hadoop cluster for data processing in an easily configured and reliable way. We also discussed the Flume agent and its logical components including: events, sources, channel selectors, channels, sink processors, and sinks.

The next chapter will cover these in more detail, specifically the most commonly used implementations of each. Like all good open source projects, almost all of these components are extensible if the bundled ones don't do what you need them to do.

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Apache Flume: Distributed Log Collection for Hadoop
Published in: Jul 2013 Publisher: Packt ISBN-13: 9781782167914
© 2013 Packt Publishing Limited All Rights Reserved
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