<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Big Data Analytics Technology and Applications in Cloud Computing Perspective

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Big Data Analytics Technology and Applications in Cloud Computing Perspective"}

Big data has become an important reference and helper tool for enterprise efficiency improvement. Effective data mining and analysis can be utilized by...

Big Data Analytics Technology and Applications in Cloud Computing Perspective

Publié en ligne: 28 avr. 2023

Pages: 1415 - 1432

Reçu: 10 avr. 2022

Accepté: 15 juil. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00044

Mots clés
Big data technology, Cloud computing, Cloud services, Big data analytics, Data mining

© 2023 Xiangbin Wen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Big Data Analytics Technology and Applications in Cloud Computing Perspective

Publié en ligne: 28 avr. 2023

Pages: 1415 - 1432

Reçu: 10 avr. 2022

Accepté: 15 juil. 2022

DOI: https://doi.org/10.2478/amns.2023.1.00044

Mots clésBig data technology, Cloud computing, Cloud services, Big data analytics, Data mining

© 2023 Xiangbin Wen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Big data technology, Cloud computing, Cloud services, Big data analytics, Data mining