Using Flume : stream data into HDFS and HBASE

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, SolrCloud, E...

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Detalles Bibliográficos
Otros Autores: Shreedharan, Hari, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Sebastopol, California : O'Reilly Media 2015.
Edición:1st edition
Materias:
Apache Hadoop.
Web usage mining.
Electronic data processing > Distributed processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629452106719
Tabla de Contenidos:
  • 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.

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