A Systematic Review and Agenda for Future Research on Apache Hadoop Framework Tools
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 9
Abstract
In this electronic life, growing number of organizations are facing the problem of a sudden increase in amount of data. Most of the data would decline under two categories – ordered and unordered. The more important piece of data which is not apprehensive but is hugely admired is the unordered data – likes, clicks, twitter posts, Face book likes, YouTube comments, videos etc. which has all supported development of a new race of database models. Big Data analytics implemented by Apache Hadoop is an open source frameworkthe most information handling engine. Thus; Apache open source Hadoop solves these issues by using multiple frameworks, which provides high speed clustered processing for the analysis of a large set of data smoothly and efficiently on the distributive environment.This paper is an effort to take a look at how Hadoop framework is prospect and designate the enforcement for a large range of evocative use cases, and then analyze, measure, and estimate so that application developers can make apprized choice based upon data size, cluster size, clone aspect, and dividing procedure to meet their performance demands for the unordered data and create it persistent perception to extend alteration.
Authors and Affiliations
Kushal Kanwar, Vishal Shrivastav
Keywords
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