Database Design: The Relational Model and Functional Dependencies

Designing a robust database requires more than just creating tables; it demands a deep understanding of how data elements relate to one another. Poor database design leads to data redundancy, inconsistencies, and severe performance bottlenecks. This text-based course guides you step-by-step from database design basics to the core principles of the relational model and functional dependencies. You will learn how to structure data logically, analyze relationships, and apply normalization techniques to ensure data integrity in modern database systems like PostgreSQL and MySQL. What you'll learn: - Understand the core components of the relational model, including schemas, relations, tuples, and attributes. - Identify and define different types of functional dependencies to establish clear relationships between data fields. - Apply normalization techniques up to Boyce-Codd Normal Form (BCNF) to eliminate data redundancy and write anomalies. - Determine primary keys, candidate keys, and foreign keys using systematic dependency analysis. - Analyze database schemas to detect and resolve design flaws using practical, text-based scenarios. - Implement modern data integrity constraints and referential integrity rules to keep your data consistent. You will start with foundational database terminology and relational theory before moving step-by-step through functional dependencies, key determination, and normalization workflows with clear, written examples and structured exercises. This course is designed for beginner database developers, software engineers, and data analysts who want to build a strong theoretical and practical foundation in database design. No prior database experience is required. Start reading today to master the structural rules that power reliable, professional databases.