UNDERSTANDING AND CONFIGURING HADOOP: TO HANDLE THE LARGE AMOUNT OF DATA

Abstract

 Data is getting bigger and bigger in size that is called as Big Data. Big Data may be structured, unstructured and semi structured. Traditional systems are not good to manage this huge amount of data. So, it is required to use best sources to manage this Big Data. Hadoop is Highly Archived Distributed Object Oriented Programming tool which is an open source software platform. Hadoop is written Java. It is used to store and manage large amount of data. In this paper configuration of Hadoop single node cluster is explained. Hardware and software requirements are also described. Some running commands are also explained for Hadoop. Map Reduce job of Hadoop also presented.

Authors and Affiliations

Rahul Rawat*

Keywords

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  • EP ID EP154325
  • DOI 10.5281/zenodo.59632
  • Views 82
  • Downloads 0

How To Cite

Rahul Rawat* (30).  UNDERSTANDING AND CONFIGURING HADOOP: TO HANDLE THE LARGE AMOUNT OF DATA. International Journal of Engineering Sciences & Research Technology, 5(8), 274-278. https://europub.co.uk/articles/-A-154325