The relational model is a foundational framework for organizing data in a database, introduced by Edgar F. Codd in 1970. This model organizes data into structured tables, called relations, making it one of the most widely used models for database management systems. Each table represents a specific entity, and the relational model allows for efficient querying and data manipulation using a standardized language, SQL (Structured Query Language).

Key Features of the Relational Model

• Data Organization in Tables: Data is stored in tables, where each table corresponds to a specific type of entity (e.g., students, courses).
• Clear Structure: Tables are composed of rows and columns, making data easy to understand and query.
• Data Independence: The relational model provides logical data independence, meaning changes in data structure do not affect the applications that access the data.
• Mathematical Foundation: The relational model is based on set theory and relational algebra, ensuring a robust structure for data manipulation.

Advantages of the Relational Model

• Ease of Use: Tables are intuitive, making it easy for users to interact with the data.
• Data Integrity: Built-in integrity constraints maintain accuracy and consistency in the data.
• Flexibility in Queries: The use of SQL allows for complex queries and data manipulation.
• Scalability: Relational databases are designed to handle large datasets and support concurrent access.

In the next lesson, we will learn about relations between tables, tuples, attributes, etc.