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In today's data-rich environment, organizations are increasingly relying on sophisticated data science models to derive meaningful insights from complex datasets. The emergence of cloud computing has become crucial, providing the necessary scalability and flexibility for processing large datasets. This study presents a novel data science model that leverages cloud computing infrastructure to analyse and extract insights from extensive datasets. By utilizing cutting-edge machine learning algorithms, the model can detect patterns, trends, and relationships, enabling organizations to make informed decisions based on data. Additionally, the study delves into the benefits of using cloud computing for data science, such as its cost-effectiveness, scalability, and ease of access. It emphasizes the collaborative potential of combining data science and cloud computing to drive innovation and achieve organizational goals.
Archana et al. (Sat,) studied this question.
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