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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

Chapter 6. Interceptors, ETL, and Routing

The final piece of functionality necessary in your data processing pipeline is the ability to inspect and transform events in flight. This can be accomplished using interceptors. Interceptors, as we discussed in Chapter 1, Overview and Architecture, can be inserted after a source or before a sink.

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