article · 2024
A Conceptual Model of Semi-Structured Data for Big Data Applications
Shady Hamouda, Mona Abdelrahman
Cited by 0Abstract and details only
Abstract
The vast influx of data has posed significant challenges for major corporations. This deluge has sparked numerous issues within big data, prompting a need for research and industrial solutions. Among the crucial challenges is the requirement for semi-structured data storage and handling to manage large volumes of data with adaptable schemas. Recently, researchers have proposed features and specifications for designing schemas tailored to semi-structured data formats. However, these proposals have not undergone evaluation based on semi-structured properties. Consequently, this study assesses these features within the context of semi-structured properties for big data applications. The findings indicate that semi-structured properties partially or fully support some of these features.
Cite this paper
Hamouda, S., & Abdelrahman, M. (2024). A Conceptual Model of Semi-Structured Data for Big Data Applications. https://doi.org/10.1109/icoa62581.2024.10753722
Hamouda, Shady, and Mona Abdelrahman. “A Conceptual Model of Semi-Structured Data for Big Data Applications.” 2024, pp. 1–5, https://doi.org/10.1109/icoa62581.2024.10753722.
Hamouda, Shady, and Mona Abdelrahman. 2024. “A Conceptual Model of Semi-Structured Data for Big Data Applications.” https://doi.org/10.1109/icoa62581.2024.10753722.
Hamouda, S. and Abdelrahman, M. (2024) ‘A Conceptual Model of Semi-Structured Data for Big Data Applications’. Available at: https://doi.org/10.1109/icoa62581.2024.10753722.
@article{hamouda2024conceptual,
title = {{A Conceptual Model of Semi-Structured Data for Big Data Applications}},
author = {Hamouda, Shady and Abdelrahman, Mona},
pages = {1--5},
year = {2024},
doi = {10.1109/icoa62581.2024.10753722}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.