Modern Modeling and Management in Document-Oriented (NoSQL) Databases

Due to their ability to manage large and diverse datasets, Not Only SQL(NoSQL) databases have attracted significant attention in recent years. Specifically, document-oriented databases have gained a prominent position with their flexibility in storing semi-structured and unstructured data. This article examines novel approaches to modeling and managing these types of databases and presents a comprehensive framework for data modeling. In this context, various data modeling techniques, including the use of the Unified Modeling Language (UML) and hybrid methods, are analyzed to enhance the modeling process. Additionally, the management aspects of NoSQL databases are discussed, with a focus on optimizing data storage, retrieval, and maintenance. The results of this study indicate that using UML-based modeling approaches, along with advanced management techniques, can help improve the performance and usability of document-oriented NoSQL databases. By offering suggestions for future research, this article seeks to enhance existing knowledge in the field of NoSQL database modeling and management and can serve as a reference for developers and researchers in this domain

کلیدواژه ها:

NoSQL Database ، Data Modeling ، Data Management ، Document-Oriented Database ، Storage Optimization