By Steve Hoffman
Apache Flume is a allotted, trustworthy, and to be had carrier for successfully amassing, aggregating, and relocating quite a lot of log facts. Its major aim is to bring information from functions to Apache Hadoop's HDFS. It has an easy and versatile structure in keeping with streaming information flows. it really is strong and fault tolerant with many failover and restoration mechanisms.
Apache Flume: dispensed Log assortment for Hadoop covers issues of HDFS and streaming data/logs, and the way Flume can get to the bottom of those difficulties. This e-book explains the generalized structure of Flume, inclusive of relocating info to/from databases, NO-SQL-ish facts shops, in addition to optimizing functionality. This publication comprises real-world situations on Flume implementation.
Apache Flume: disbursed Log assortment for Hadoop starts off with an architectural assessment of Flume after which discusses each one part intimately. It publications you thru the entire set up technique and compilation of Flume.
It provides you with a heads-up on find out how to use channels and channel selectors. for every architectural part (Sources, Channels, Sinks, Channel Processors, Sink teams, etc) some of the implementations might be lined intimately in addition to configuration techniques. you should use it to customise Flume on your particular wishes. There are guidelines given on writing customized implementations in addition that may assist you research and enforce them.
By the tip, try to be in a position to build a sequence of Flume brokers to move your streaming facts and logs out of your structures into Hadoop in close to actual time.
A starter consultant that covers Apache Flume in detail.
Who this ebook is for
Apache Flume: allotted Log assortment for Hadoop is meant for those who are answerable for relocating datasets into Hadoop in a well timed and trustworthy demeanour like software program engineers, database directors, and information warehouse administrators.
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Apache Flume: Distributed Log Collection for Hadoop (What You Need to Know) by Steve Hoffman