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Perspective of Database Services for Managing Large-Scale Data on the Cloud: A Comparative Study
Author(s) -
Narinder K. Seera,
Vishal Jain
Publication year - 2015
Publication title -
international journal of modern education and computer science
Language(s) - English
Resource type - Journals
eISSN - 2075-017X
pISSN - 2075-0161
DOI - 10.5815/ijmecs.2015.06.08
Subject(s) - cloud computing , computer science , big data , data science , leverage (statistics) , scope (computer science) , data management , process (computing) , database , the internet , field (mathematics) , world wide web , data mining , operating system , mathematics , machine learning , pure mathematics , programming language
The influx of Big Data on the Internet has become a question for many businesses of how they can benefit from big data and how to use cloud computing to make it happen. The magnitude at which data is getting generated day by day is hard to believe and is beyond the scope of a human’s capability to view and analyze it and hence there is an imperative need for data management and analytical tools to leverage this big data. Companies require a fine blend of technologies to collect, analyze, visualize, and process large volume of data. Big Data initiatives are driving urgent demand for algorithms to process data, accentuating challenges around data security with minimal impact on existing systems. In this paper, we present many existing cloud storage systems and query processing techniques to process the large scale data on the cloud. The paper also explores the challenges of big data management on the cloud and related factors that encourage the research work in this field.

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