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Using Flume : stream data into HDFS and HBASE / by Hari Shreedharan.
- Format:
- Book
- Author/Creator:
- Shreedharan, Hari, author.
- Language:
- English
- Subjects (All):
- Apache Hadoop.
- Web usage mining.
- Electronic data processing--Distributed processing.
- Electronic data processing.
- Physical Description:
- 1 online resource (238 p.)
- Edition:
- 1st edition
- Place of Publication:
- Sebastopol, California : O'Reilly Media, 2015.
- Language Note:
- English
- System Details:
- text file
- 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.
- Contents:
- Apache Hadoop and Apache HBase : an introduction
- Streaming data using Apache Flume
- Sources
- Channels
- Sinks
- Interceptors, channel selectors, sink groups, and sink processors
- Getting data into Flume*
- Planning, deploying, and monitoring Flume.
- Notes:
- Includes index.
- Description based on online resource; title from PDF title page (ebrary, viewed September 26, 2014).
- ISBN:
- 9781491905333
- 1491905336
- 9781491905326
- 1491905328
- 9781491905340
- 1491905344
- OCLC:
- 892117476
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