The application of database systems in information management

Tianle Deng

doi:10.54254/2755-2721/40/20230625

Research Article

Open access

Published on 21 February 2024

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Deng,T. (2024). The application of database systems in information management. Applied and Computational Engineering,40,33-42.

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The application of database systems in information management

Tianle Deng *^,1,

¹ Guangdong University of Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/40/20230625

Abstract

Database technology has always been a focal point of interest for enterprises and organizations in the field of information management. With the continuous growth and diversification of information, effective information management has become crucial. This paper aims to explore the extensive applications of database systems in information management. Firstly, the paper reviews relational and non-relational databases. Subsequently, it delves into the current applications of database systems in various domains, including enterprise management, retail, education, and government and public services. In the realm of enterprise management, database systems provide a solid foundation for information management by ensuring the timeliness, accuracy, and reliability of data. In the retail industry, they support inventory management, sales analysis, and enhance the user experience. In education, database systems are used for student information management, teaching data analysis, and online learning. In the government and public services sector, they facilitate information sharing and data transparency, while playing a critical role in crisis management and emergency response. This paper highlights the significance and diverse applications of database systems in different domains, offering insights into the current research trends and future prospects in this field.

Keywords

Database, Information Management, SQL, NoSQL

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References

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Cite this article

Deng,T. (2024). The application of database systems in information management. Applied and Computational Engineering,40,33-42.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

Conference website: https://2023.confmla.org/

ISBN：978-1-83558-305-0(Print) / 978-1-83558-306-7(Online)

Conference date: 18 October 2023

Editor：Mustafa İSTANBULLU

Series: Applied and Computational Engineering

Volume number: Vol.40

ISSN：2755-2721(Print) / 2755-273X(Online)

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