Which of the following data models uses tables to represent data and r...
The relational data model represents data using tables, where each table represents an entity, and the relationships between entities are represented using foreign keys.
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Which of the following data models uses tables to represent data and r...
Understanding Data Models
Data models are frameworks that dictate how data is organized, stored, and manipulated. Each model has its own way of representing relationships and data structures. Let’s explore why the relational data model is the correct answer.
Relational Data Model Overview
The relational data model, introduced by E.F. Codd in 1970, uses tables to represent data.
Key Features of the Relational Data Model:
- Tables (Relations): Data is organized into tables, also known as relations. Each table consists of rows and columns.
- Rows and Columns: Each row in a table represents a unique record, while each column represents a specific attribute of the data.
- Primary Keys: Each table can have a primary key, a unique identifier for records, ensuring that no two rows are identical.
- Foreign Keys: Relationships between tables are established through foreign keys, which reference primary keys in other tables, allowing for data integrity and relational queries.
Comparison with Other Data Models
- Hierarchical Data Model: This model organizes data in a tree-like structure. Each parent can have multiple children, but each child can only have one parent, limiting relationships.
- Object-Oriented Data Model: This model combines data with methods and behaviors, focusing on objects rather than tables, making it different from the tabular format.
- Network Data Model: Similar to the hierarchical model but allows more complex relationships with many-to-many connections, yet it does not use tables.
Conclusion
The relational data model is distinguished by its use of tables to represent both data and relationships, making option 'B' the correct choice. It provides a flexible and efficient way to manage data, making it widely used in database systems today.