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Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Construction of Financial Big Data Analysis Platform in Universities under Big Data Technology

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328061,
        author={Yingmin  Zhang and Hong  Zhang},
        title={Construction of Financial Big Data Analysis Platform in Universities under Big Data Technology},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={big data; information technology; colleges and universities},
        doi={10.4108/eai.2-12-2022.2328061}
    }
    
  • Yingmin Zhang
    Hong Zhang
    Year: 2023
    Construction of Financial Big Data Analysis Platform in Universities under Big Data Technology
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2328061
Yingmin Zhang1,*, Hong Zhang2
  • 1: Chongqing Medical and Pharmaceutical College
  • 2: University of Shenyang
*Contact email: 10827@cqmpc.edu.cn

Abstract

The high development of information technology has brought high-speed and convenient services to school teaching, scientific research, learning and life. At the same time, a large number of data recording the daily management and teaching work of universities has been generated, which constitute a huge big data resource with the accumulation of time. At present, the massive data of colleges and universities has not been effectively analyzed and utilized. To this end, this paper uses big data technology and Python for development. Through the establishment of an analysis model, this paper puts forward the construction scheme of a financial big data analysis platform from the aspects of construction ideas, overall application architecture, data management platform, data mining platform, technical solutions, etc.

Keywords
big data; information technology; colleges and universities
Published
2023-03-27
Publisher
EAI
http://dx.doi.org/10.4108/eai.2-12-2022.2328061
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