Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)

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Data Models in Big Data Analysis: Applications and Challenges

Authors
Chong Ru1, *
1The London School of Economics and Political Science, London, United Kingdom
*Corresponding author. Email: ruchong2025@163.com
Corresponding Author
Chong Ru
Available Online 19 December 2024.
DOI
10.2991/978-94-6463-598-0_68How to use a DOI?
Keywords
Data models; Big data analysis; Applications; Challenges; Data utilization
Abstract

Big data has emerged as a crucial aspect in the digital era, and data models play a vital role in extracting valuable insights from vast amounts of data. This paper focuses on the applications and challenges of data models in big data analysis. It begins by exploring the diverse types of data models commonly used in big data scenarios, such as relational models, NoSQL models, and graph models. The applications range from business intelligence for informed decision-making in enterprises to healthcare for disease prediction and personalized medicine. However, along with the benefits come several challenges. Issues like data quality, scalability, complexity of model selection, and the need for real-time processing pose significant difficulties. This study also delves into recent advancements in addressing these challenges, including the development of hybrid models and the use of machine learning techniques for model optimization. The aim is to provide a comprehensive understanding of how data models are transforming big data analysis and the obstacles that need to be overcome for more efficient and accurate data utilization.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
19 December 2024
ISBN
978-94-6463-598-0
ISSN
2352-5428
DOI
10.2991/978-94-6463-598-0_68How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chong Ru
PY  - 2024
DA  - 2024/12/19
TI  - Data Models in Big Data Analysis: Applications and Challenges
BT  - Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)
PB  - Atlantis Press
SP  - 629
EP  - 635
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-598-0_68
DO  - 10.2991/978-94-6463-598-0_68
ID  - Ru2024
ER  -