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A database management system (or DBMS) is essentially nothing more than a computerized data-keeping system. Users of the system are given facilities to perform several kinds of operations on such a system for either manipulation of the data in the database or the management of the database structure itself.
What Is Database Management?
Database management refers to organizing, storing, and manipulating data in a structured and efficient manner. It involves using specialized database management systems (DBMS) software to create, modify, and manage databases.
A database is a collection of related data that is organized and structured to facilitate efficient retrieval, modification, and analysis. Databases are widely used in various applications and industries to store and manage large amounts of data.
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Understanding Different Database Models
Here are the three primary database models:
Relational Database Model
The relational database model is the most widely used and well-established. It organises data into tables, where each table consists of rows (records) and columns (attributes). The relationships between tables are established through keys, such as primary keys and foreign keys.
The relational model ensures data integrity, supports complex queries through SQL. And provides a flexible and scalable structure for managing structured data. Relational databases are commonly used in various applications, including enterprise systems, web applications, and data-driven applications.
Hierarchical Database Model
The hierarchical database model represents data in a hierarchical structure, similar to a tree-like structure. In this model, data is organized into parent-child relationships. Where each parent can have multiple children, but each child has only one parent. The hierarchical model is suitable for representing one-to-many relationships and is commonly used in mainframe systems and legacy applications.
Network Database Model
It extends the hierarchical model by allowing multiple parent-child relationships also known as a many-to-many relationship. It represents data as a network of interconnected records. In this model, each document can have multiple parent and child records, facilitating complex relationships. The network model is effective for handling complex data relationships and is commonly used in scientific and engineering applications.
It’s worth noting that these models have been largely superseded by the relational model, which offers more flexibility and simplicity. However, the hierarchical and network models still find application in specialized domains where their specific features are advantageous.
Apart from these primary models, other database models cater to specific requirements, such as:
- Object-Oriented Database Model: This model incorporates the principles of object-oriented programming. Allowing the storage of complex objects and their relationships directly in the database. It supports inheritance, encapsulation, and other object-oriented concepts.
- NoSQL Database Model: NoSQL (Not Only SQL) databases are designed to handle large volumes of unstructured or semi-structured data. They provide flexible schemas, scalability, and high performance. NoSQL databases include key-value stores, document, columnar, and graph databases.
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