Facilitating big-data management in modern business and organizations using cloud computing: a comprehensive study

被引:16
作者
Qi, Wenhao [1 ]
Sun, Meng [2 ]
Hosseini, Seyed Reza Aghaseyed [3 ,4 ]
机构
[1] Jilin Agr Univ, Sch Econ & Management, Changchun 130118, Jilin, Peoples R China
[2] Jilin Univ, Ctr Northeast Asian Studies, Changchun 130012, Jilin, Peoples R China
[3] SP Jain Sch Global Management, Sydney, NSW, Australia
[4] Calif Miramar Univ, San Diego, CA USA
关键词
Big data; big-data management; cloud computing; modern management; organizations; security; RESOURCE-MANAGEMENT; FRAMEWORK;
D O I
10.1017/jmo.2022.17
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Modern digital life has produced big data in modern businesses and organizations. To derive information for decision-making from these enormous data sets, a lot of work is required at several levels. The storage, transmission, processing, mining, and serving of big data create problems for digital domains. Despite several efforts to implement big data in businesses, basic issues with big data remain (particularly big-data management (BDM)). Cloud computing, for example, provides companies with well-suited, cost-effective, and consistent on-demand services for big data and analytics. This paper introduces the modern systems for organizational BDM. This article analyzes the latest research to manage organization-generated data using cloud computing. The findings revealed several benefits in integrating big data and cloud computing, the most notable of which is increased company efficiency and improved international trade. This study also highlighted some hazards in the sophisticated computing environment. Cloud computing has the potential to improve corporate management and accountants' jobs significantly. This article's major contribution is to discuss the demands, advantages, and problems of using big data and cloud computing in contemporary businesses and institutions.
引用
收藏
页码:697 / 723
页数:27
相关论文
共 96 条
  • [1] Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
    Aceto, Giuseppe
    Persico, Valerio
    Pescape, Antonio
    [J]. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2020, 18
  • [2] "Big" Data Management in Cloud Computing Environment
    Agarwal, Mohit
    Srivastava, Gur Mauj Saran
    [J]. HARMONY SEARCH AND NATURE INSPIRED OPTIMIZATION ALGORITHMS, 2019, 741 : 707 - 716
  • [3] Almeida W. H. C., 2019, Survey on Trends in Big Data: Data Management, Integration and Cloud Computing Environment
  • [4] Automatic Cloud Services Composition for Big Data Management
    Amato, Flora
    Moscato, Francesco
    [J]. IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA 2016), 2016, : 46 - 51
  • [5] Developing online learning resources: Big data, social networks, and cloud computing to support pervasive knowledge
    Anshari, Muhammad
    Alas, Yabit
    Guan, Lim Sei
    [J]. EDUCATION AND INFORMATION TECHNOLOGIES, 2016, 21 (06) : 1663 - 1677
  • [6] Anuradha D., 2014, International Journal of Computer Applications, V975, P8887
  • [7] Aslam K. N., 2019, 2019 INT C COMM EL S
  • [8] Ayala I.D. C. L., 2013, Innovations and advances in computer, information, systems sciences, and engineering, P37
  • [9] A Secure Cloud Computing Based Framework for Big Data Information Management of Smart Grid
    Baek, Joonsang
    Quang Hieu Vu
    Liu, Joseph K.
    Huang, Xinyi
    Xiang, Yang
    [J]. IEEE TRANSACTIONS ON CLOUD COMPUTING, 2015, 3 (02) : 233 - 244
  • [10] Bagheri M, 2018, 2018 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2018 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)