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Using Flume : stream data into HDFS and HBASE /
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, So...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
©2015.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a Using Flume : |b stream data into HDFS and HBASE / |c Hari Shreedharan. |
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| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
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| 776 | 0 | 8 | |i Print version: |a Shreedharan, Hari. |t Using Flume : stream data into HDFS and HBASE. |d Sebastopol, California : O'Reilly Media. c2015 |h xxiii, 221 pages |z 9781449368302 |
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