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

Product typeBook

Published inFeb 2015

Reading LevelIntermediate

Publisher

ISBN-139781784392178

Edition1st Edition

Languages

Java

Tools

Apache Flume

Concepts

Data Processing

Author (1)

Steven Hoffman

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, reliable way. We also discussed the Flume agent and its logical components, including events, sources, channel selectors, channels, sink processors, and sinks. Finally, we briefly discussed Morphlines as a powerful new ETL (Extract, Transform, Load) library, starting with Version 1.4 of Flume.

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: Feb 2015Publisher: ISBN-13: 9781784392178

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Author (1)

Steven Hoffman

Steve Hoffman has 32 years of experience in software development, ranging from embedded software development to the design and implementation of large-scale, service-oriented, object-oriented systems. For the last 5 years, he has focused on infrastructure as code, including automated Hadoop and HBase implementations and data ingestion using Apache Flume. Steve holds a BS in computer engineering from the University of Illinois at Urbana-Champaign and an MS in computer science from DePaul University. He is currently a senior principal engineer at Orbitz Worldwide (http://orbitz.com/). More information on Steve can be found at http://bit.ly/bacoboy and on Twitter at @bacoboy. This is the first update to Steve's first book, Apache Flume: Distributed Log Collection for Hadoop, Packt Publishing.
Read more about Steven Hoffman

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