{"title":"Big Data Analytics: An Emerging Technology","authors":"Praveen Kumar","doi":"10.1109/INDIACom51348.2021.00045","DOIUrl":null,"url":null,"abstract":"The Emerging Technologies are disruptive so, an attempt has been made to study Big Data Analytics (BDA), which is placed under the emerging technology segment by various industry leaders. The research's main objective is to identify BDA's presence in several journal literature. The study considers BDA implementation from the earlier conceptualization to framework design, the utility of technology in various industrial verticals, and its core competencies. It gets accomplished by using the systematic literature review (SLR) of some of the digital repositories as a methodology with specific keywords. As concluded in the study, for over a decade or so, a wide presence has evident through journal articles published and indexed in JSTOR and Science Direct digital repositories. The areas of implementation dominated by Military and Defence studies involving Artificial Intelligence-driven machine learning. Biological science also has its place on the popularity list. Overall, the BDA technologies have an open-source framework, and hence its penetration and spread across the various industry have speeded up in the last decade. The role of both predictive and prescriptive analytics in core competencies of industrial verticals like Education, Medical trials, research, and development centers has also been seen.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDIACom51348.2021.00045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The Emerging Technologies are disruptive so, an attempt has been made to study Big Data Analytics (BDA), which is placed under the emerging technology segment by various industry leaders. The research's main objective is to identify BDA's presence in several journal literature. The study considers BDA implementation from the earlier conceptualization to framework design, the utility of technology in various industrial verticals, and its core competencies. It gets accomplished by using the systematic literature review (SLR) of some of the digital repositories as a methodology with specific keywords. As concluded in the study, for over a decade or so, a wide presence has evident through journal articles published and indexed in JSTOR and Science Direct digital repositories. The areas of implementation dominated by Military and Defence studies involving Artificial Intelligence-driven machine learning. Biological science also has its place on the popularity list. Overall, the BDA technologies have an open-source framework, and hence its penetration and spread across the various industry have speeded up in the last decade. The role of both predictive and prescriptive analytics in core competencies of industrial verticals like Education, Medical trials, research, and development centers has also been seen.
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大数据分析:一项新兴技术
新兴技术具有颠覆性,因此,人们尝试研究大数据分析(BDA),它被各种行业领导者置于新兴技术领域之下。本研究的主要目的是确定BDA在一些期刊文献中的存在。本研究考虑了BDA的实施,从早期的概念化到框架设计,技术在各个垂直行业的应用,以及它的核心竞争力。它是通过使用一些数字资源库的系统文献综述(SLR)作为特定关键字的方法来完成的。正如研究中得出的结论,十多年来,通过在JSTOR和Science Direct数字存储库中发表和索引的期刊文章,广泛存在。实施领域主要是军事和国防研究,涉及人工智能驱动的机器学习。生物科学在受欢迎程度榜单上也占有一席之地。总的来说,BDA技术有一个开源框架,因此在过去十年中,它在各个行业的渗透和传播速度加快了。预测分析和规范分析在教育、医学试验、研究和开发中心等垂直行业的核心竞争力中所起的作用也已被看到。
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