Relational Model Theory & Normalization

The relational model is an approach to managing data using a structure and language consistent with first-order predicate logic, first described in 1969 by English computer scientist Edgar F. Codd, where all data is represented in terms of tuples, grouped into relations. A database organized in terms of the relational model is a relational database.

The relational model provides a clear and structured way to understand how data is organized and represented in a database. Learning this model helps you grasp the foundational concepts of tables, rows, columns, keys, relationships, and constraints.

This course will take you through the fundamental concepts behind relations, relational algebra and normalization. How set theory has effectively been applied for the logical representation and manipulation of complex information.

The relational model provides guidelines for structuring databases to accurately represent real-world relationships and dependencies. Learning about the relational model theory, which forms the foundation of relational databases, can offer several advantages, especially if you’re involved in computer science, database management, or software development. It  enables you to write complex queries to retrieve, filter, and manipulate data efficiently. This is essential for creating meaningful reports and insights from the data. Learning about normalization helps you design databases that are well-structured and maintainable.