Adopting Quality Attributes Based Quantitatively Methodology Using Deep Learning to NoSQL Databases

Adopting Quality Attributes Based Quantitatively Methodology Using Deep Learning to NoSQL Databases

연구 분야: Databases

학회: 2024 6th International Conference on Computing and Informatics (ICCI)

Nowadays, Businesses are mutating to social media platforms and websites as a new source of information and knowledge to get competitive advantages. Hence, the term NoSQL databases known as Internet era databases revealed as a solution because of raising urgency in the demand for scalability and performance. This paper presents an overview study for the evolution of databases, different forms of NoSQL databases in addition to their features, advantages and disadvantages. This paper also seeks to cover the shortage of focusing on the quality attributes based methodologies to NoSQL databases that have been largely overlooked in the previous studies and creates a brief comparison that illustrates this issue.