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AUTHOR(S): Shady Hamouda
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TITLE A Conceptual Model of Semi−structured Data for Big Data Applications |
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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. |
KEYWORDS Conceptual Model, Semi-Structured Data, Schema, Document-Oriented Data, Big Data |
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Cite this paper Shady Hamouda. (2024) A Conceptual Model of Semi−structured Data for Big Data Applications. International Journal of Education and Learning Systems, 9, 20-28 |
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