Using Flume : stream data into HDFS and HBASE /

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Bibliographic Details
Author / Creator:	Shreedharan, Hari.
Imprint:	Sebastopol, CA : O'Reilly Media, ©2015.
Description:	1 online resource (1 volume) : illustrations
Language:	English
Subject:	Web usage mining. Electronic data processing -- Distributed processing. Electronic data processing -- Distributed processing Web usage mining
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13630486

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ISBN:	1449368301 9781449368302 9781491905340 1491905344 9781449368302
Notes:	Online resource; title from title page (Safari, viewed September 26, 2014).
Summary:	How can you get your data from frontend servers to Hadoop in near real time? With this complete reference guide, you'll learn Flume's rich set of features for collecting, aggregating, and writing large amounts of streaming data to the Hadoop Distributed File System (HDFS), Apache HBase, SolrCloud, Elastic Search, and other systems.
Other form:	Print version: Shreedharan, Hari. Using Flume : stream data into HDFS and HBASE. Sebastopol, California : O'Reilly Media. c2015 xxiii, 221 pages 9781449368302

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