Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

April 28, 2023


Pages

1415-1432


DOI

Article

Big Data Analytics Technology and Applications in Cloud Computing Perspective

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Authors

Xiangbin Wen Affiliation:
Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510006
and Zhenghui Wang Affiliation:
Guangdong Teachers College of Foreign Language and Art, Guangzhou, Guangdong, 510640


Abstract

Big data has become an important reference and helper tool for enterprise efficiency improvement. Effective data mining and analysis can be utilized by enterprises to enhance the user experience of products or to develop products and services based on user needs analysis. In order to explore the application of data analytics, this study focuses on big data analytics from the cloud computing perspective by reviewing massive references and online data, as well as fieldwork visits to specific situations. The results reflect that data analytics is used in various industries to enhance the benefits of enterprises. The hotel management, Internet fields, new media industry and education industry examined in this paper are all helpful in improving efficiency. After the utilization of the data analytics technology, the market size of China’s cross-border direct big data analytics technology broadcast e-commerce is on the rise from 2020 to 2021, and the annual market size of big data analytics technology is expected to go beyond 100 billion yuan in 2022, a growth rate of 210% compared to the same period last year. Thus, data analytics technology will bring endless social and economic benefits. How to reasonably use data is a problem that needs to be seriously considered.


Keywords

Big data technology, Cloud computing, Cloud services, Big data analytics, Data mining, 62-07


Citation

Wen, X. & Wang, Z. (2023). Big data analytics technology and applications in cloud computing perspective. Applied Mathematics and Nonlinear Sciences, 8(1), 1415–1432. https://doi.org/10.2478/amns.2023.1.00044

Published by: Engineering Journals

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