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Data Science and Big Data Technology

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ArticleOpen Access http://dx.doi.org/10.26855/dsbdt.2025.12.005

The Specific Situation of Computer Application Technology Under the Development of Big Data

Hongwei Liu*, Ao Lu, Zhou Zhang

Wuhan Donghu College, Wuhan 430212, Hubei, China.

*Corresponding author: Hongwei Liu

Published: November 14,2025

Abstract

With the support of big data technology, the application of computer equipment and network has shown a vertical development trend, which promotes the steady development of social economy. Computer equipment can process large capacity data information in a short time, meet users' demands for data business processing, and provide data support for the development of various social affairs. However, in terms of the nature of technical operation, the operation burden generated by the operation mode of network virtualization will present a higher load operation volume for the computer physical server, which needs to be updated in time for the equipment and related computer coefficients, in line with the information processing demands under the macro vision of the computer network, and further improve the quality of practical applications. The realization of computer application technology is to further strengthen the utilization efficiency of information resources, deeply excavate the ontology value of data, and then make targeted solutions based on the characteristics of various data businesses in the age of big data information, to ensure that data information truly reflects various application attributes, to build a stable data chain for the development of social industries, and to meet the pace of computer network development in the new era.

Keywords

Big data; Computer application technology; Computer network

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How to cite this paper

The Specific Situation of Computer Application Technology Under the Development of Big Data

How to cite this paper: Hongwei Liu, Ao Lu, Zhou Zhang. (2025) The Specific Situation of Computer Application Technology Under the Development of Big Data. Data Science and Big Data Technology1(1), 18-21.

DOI: http://dx.doi.org/10.26855/dsbdt.2025.12.005