THE APPLICATION OF DATABASE MODELS

Аннотация

Модели баз данных являются основополагающими структурами, которые определяют, как данные хранятся, организуются и обрабатываются в системе баз данных. Различные модели баз данных, такие как иерархическая, сетевая, реляционная и NoSQL, служат различным целям и применяются в различных отраслях в зависимости от характера данных и конкретных системных требований. Иерархическая модель полезна в приложениях со строгими родительско-дочерними отношениями, в то время Выпуск журнала №-23 Часть–1_Март –2025 243 MODERN EDUCATION AND DEVELOPMENT как реляционная модель с ее таблицами и отношениями наиболее широко используется в бизнес- и корпоративных системах. Сетевая модель обеспечивает большую гибкость, чем иерархическая модель, допуская сложные отношения, а модель NoSQL поддерживает крупномасштабные, неструктурированные или полуструктурированные данные, что делает ее необходимой для больших данных и приложений реального времени. В этой статье рассматриваются практические применения этих моделей баз данных, их сильные стороны, ограничения и то, как они способствуют эффективному управлению данными в таких секторах, как финансы, здравоохранение, электронная коммерция и социальные сети. Ключевые слова. Ключевые слова: Модели баз данных, Реляционная модель, Иерархическая модель, Сетевая модель, NoSQL, Управление данными, Большие данные, Организация данных, Масштабируемость, Приложение, Структурированные данные. In today's data-driven world, efficient data storage, management, and retrieval are critical for businesses, organizations, and even individuals. Database models provide the framework for organizing and managing data. These models define how data is structured, how relationships between different data elements are represented, and how data is accessed or manipulated. Over time, various database models have emerged, each designed to address specific types of data, use cases, and technological advancements. This article explores the most widely used database models— hierarchical, network, relational, and NoSQL—and discusses their applications across industries such as healthcare, e-commerce, finance, and social media. A database model is an abstract representation of how data is structured and how the relationships between data elements are managed. It provides the blueprint for organizing data, ensuring that it is stored in an efficient, accessible, and secure manner. Database models are essential for managing both small and large-scale data systems, and they evolve to meet the demands of changing technology and business requirements. The choice of database model influences the performance, scalability, Выпуск журнала №-23 Часть–1_Март –2025 244 MODERN EDUCATION AND DEVELOPMENT and flexibility of the database system, as well as the ease with which data can be manipulated and accessed. The hierarchical model organizes data in a tree-like structure where each record has a single parent and can have multiple child records. This model is often compared to a family tree, where one entity (the parent) can have several related entities (the children). Hierarchical databases were widely used in early mainframe systems and are still useful in applications where data has a clear hierarchical structure, such as file systems, organizational charts, and inventory management systems. In the early days of computing, hierarchical databases were used by industries that needed structured, parent-child data relationships. They were especially useful in banking applications and enterprise resource planning (ERP) systems where data entities are clearly defined and follow a strict hierarchy. However, the rigid nature of the model can be limiting when complex relationships are required. Examples: IBM's Information Management System (IMS) is a well-known hierarchical database. The network model is an extension of the hierarchical model and allows for more complex relationships between data entities. It allows each record to have multiple parent and child records, creating a graph-like structure where data entities are connected in many-to-many relationships. The network model is more flexible than the hierarchical model, making it suitable for applications that require more intricate data relationships. The network model is commonly used in large-scale systems that need to handle complex relationships. For example, in telecommunications or transportation industries, the model can represent relationships between different systems, such as customers, products, services, and geographic locations. Examples. The Integrated Data Store (IDS) by Cullinet and the Conference on Data Systems Languages (CODASYL) database standards are examples of network databases. Выпуск журнала №-23 Часть–1_Март –2025 245 MODERN EDUCATION AND DEVELOPMENT The relational model, developed by Edgar F. Codd in the 1970s, represents data in tables (or relations), where each table consists of rows (records) and columns (attributes). Data can be retrieved and manipulated us