Emerging Trends of Big Data in Cloud Computing

Author:

Nandal Poonam1ORCID,Bura Deepa1,Singh Meeta1ORCID

Affiliation:

1. Manav Rachna International Institute of Research and Studies, India

Abstract

In today's world where data is accumulating at an ever-increasing rate, processing of this big data was a necessity rather than a need. This required some tools for processing as well as analysis of the data that could be achieved to obtain some meaningful result or outcome out of it. There are many tools available in market which could be used for processing of big data. But the main focus on this chapter is on Apache Hadoop which could be regarded as an open source software based framework which could be efficiently deployed for processing, storing, analyzing, and to produce meaningful insights from large sets of data. It is always said that if exponential increase of data is processing challenge then Hadoop could be considered as one of the effective solution for processing, managing, analyzing, and storing this big data. Hadoop versions and components are also illustrated in the later section of the paper. This chapter majorly focuses on the technique, methodology, components, and methodologies adopted by Apache Hadoop software framework for big data processing.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Hybrid Technique for Devanagari Numerals Recognition;2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON);2022-05-26

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