Hari Shreedharan Using Flume

Annotation

How can you get your data from frontend servers to Hadoop in near real time? With this complete reference guide, youll learn Flumes 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.Using Flume shows operations engineers how to configure, deploy, and monitor a Flume cluster, and teaches developers how to write Flume plugins and custom components for their specific use-cases. Youll learn about Flumes design and implementation, as well as various features that make it highly scalable, flexible, and reliable. Code examples and exercises are available on GitHub.Learn how Flume provides a steady rate of flow by acting as a buffer between data producers and consumersDive into key Flume components, including sources that accept data and sinks that write and deliver itWrite custom plugins to customize the way Flume receives, modifies, formats, and writes dataExplore APIs for sending data to Flume agents from your own applicationsPlan and deploy Flume in a scalable and flexible wayand monitor your cluster once its running