A Conceptual Model of Semi-Structured Data for Big Data Applications

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.