Exploring the application of cloud computing technology in computer big data analysis

Authors

  • Xiangjun Zhao
  • Zirui Qiao
  • Xiaoyang Li
  • Lingfei Zhu

DOI:

https://doi.org/10.62051/33nz8b29

Keywords:

cloud computing technology; computer technology; big data analytics.

Abstract

In the future, cloud computing technology will continue to evolve in the direction of more openness, intelligence and integration; big data analytics will develop in the direction of generation prediction, personalized recommendation and autonomous driving. The integration of cloud computing technology and big data analytics will breed more opportunities and industrial changes. The two are closely related and the development trend of mutual promotion is unstoppable, worthy of in-depth attention and follow-up by enterprises and related institutions.

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References

[1] Zhao Lin. Exploration on the application of cloud computing technology in computer big data analysis [J]. Modern Industrial Economics and Informatization, 2023, 13 (02): 175 - 177. doi: 10.16525/j.cnki.14 - 1362/n.2023.02.064.

[2] Wei Jingli. Reflections on the application of cloud computing technology in computer big data analysis [J]. Modern Industrial Economics and Informatization, 2022, 12 (09): 76 - 78.DOI: 10.16525/j.cnki.14 - 1362/n.2022.09.031.

[3] Lv Guoqing. Exploration on the application of cloud computing technology in computer big data analysis [J]. Wisdom China, 2022 (07): 92 - 93.

[4] Zhang Xiaolong. Application of cloud computing technology in computer big data analysis [J]. Computer Knowledge and Technology, 2022, 18 (19): 25 - 27.DOI: 10.14004/j.cnki.ckt.2022.1290.

[5] Liang Hao. The use of cloud computing technology in computer big data analysis - A review of Cloud Computing and Big Data [J]. Science and Technology Management Research, 2020, 40 (16): 267.

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Published

12-08-2024

How to Cite

Zhao, X. (2024) “Exploring the application of cloud computing technology in computer big data analysis”, Transactions on Computer Science and Intelligent Systems Research, 5, pp. 1636–1639. doi:10.62051/33nz8b29.