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Hadoop Setup

Hadoop Setup
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Copyright: 2019
Pages: 18
Source title: Big Data Processing With Hadoop
Source Author(s)/Editor(s): T. Revathi (Mepco Schlenk Engineering College, India), K. Muneeswaran (Mepco Schlenk Engineering College, India)and M. Blessa Binolin Pepsi (Mepco Schlenk Engineering College, India)
DOI: 10.4018/978-1-5225-3790-8.ch004

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Abstract

Apache Hadoop is an open source framework for storage and processing massive amounts of data. The skeleton of Hadoop can be viewed as distributed computing across a cluster of computers. This chapter deals with the single node, multinode setup of Hadoop environment along with the Hadoop user commands and administration commands. Hadoop processes the data on a cluster of machines with commodity hardware. It has two components, Hadoop Distributed File System for storage and Map Reduce/YARN for processing. Single node processing can be done through standalone or pseudo-distributed mode whereas multinode is through cluster mode. The execution procedure for each environment is briefly stated. Then the chapter explores the Hadoop user commands for operations like copying to and from files in distributed file systems, running jar, creating archive, setting version, classpath, etc. Further, Hadoop administration manages the configuration including functions like cluster balance, running the dfs, MapReduce admin, namenode, secondary namenode, etc.

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