Optimizing Database Management Systems: Techniques and Challenges in the Information Age

Chijin Yu

2024

Abstract

The massive emergence of data in the information age makes the development of the field of data management increasingly concerned, database management system as an important tool for data management is also widely used, but the database management system still exists in part of the problem, and it needs to be optimized to facilitate its use. In this context, this paper mainly explores the existing database management system optimization techniques and classifies the existing optimization techniques in order to understand the progress of database management system optimization more intuitively. This paper concludes that the existing optimization techniques and data management systems still exist unsolved problems, in order to provide ideas for subsequent research on database management system optimization. In conclusion, this paper is a classification of the existing database management system optimization techniques and interpretation, hope that the views in this paper can provide some ideas for subsequent research on database management system.

Paper Citation

in Harvard Style

Yu C. (2024). Optimizing Database Management Systems: Techniques and Challenges in the Information Age. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 264-268. DOI: 10.5220/0012925700004508

in Bibtex Style

@conference{emiti24,
author={Chijin Yu},
title={Optimizing Database Management Systems: Techniques and Challenges in the Information Age},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={264-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012925700004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Optimizing Database Management Systems: Techniques and Challenges in the Information Age
SN - 978-989-758-713-9
AU - Yu C.
PY - 2024
SP - 264
EP - 268
DO - 10.5220/0012925700004508
PB - SciTePress