{"title":"大数据分析:一项新兴技术","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":"{\"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}","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}
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.