Author(s)

Ying Lin ¹

Affiliation(s)

¹ Northern Arizona University, The City of Flagstaff, America

Corresponding Author

Ying Lin

ABSTRACT

Cloud computing is widely used in big data science and has become the key to achieve data collection, data processing and application in various industries. Therefore, understanding cloud computing and big data science helps to further explore the core mechanism of cloud computing development. In addition, in the face of the exponential growth of data and cloud computing, the development of big data science also faces many challenges and opportunities. Based on the existing experience, the author will further understand the characteristics of cloud computing and the current status of the application of cloud computing in big data science, so as to clarify the challenges faced by cloud computing in big data science and put forward suggestions for improvement, thus promoting the active application of cloud computing in big data science.

KEYWORDS

Cloud Computing; Big Data Science; Applications and Challenges

CITE THIS PAPER

Ying Lin, Optimization and Use of Cloud Computing in Big Data Science. Computing, Performance and Communication Systems (2023) Vol. 7: 119-124. DOI: http://dx.doi.org/10.23977/cpcs.2023.070115.

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