Relational Database Design and Data Modeling

Starting a new project requires understanding how to store data reliably. Without a strong foundation in data modeling, your database will inevitably suffer from inconsistency and complexity. By mastering the relational data model, you will gain the theoretical knowledge necessary to translate real-world business requirements into precise, efficient database schemas. You will learn the entire process, from defining conceptual entities to implementing fully normalized logical models ready for deployment. What you'll learn: * Understand the core concepts of the Relational Data Model (RDM), including domains, tuples, attributes, and relations. * Practice translating real-world requirements into conceptual models using Entity-Relationship (ER) principles. * Apply normalization techniques (1NF, 2NF, 3NF, and BCNF) to eliminate redundancy and ensure data integrity. * Configure essential integrity constraints, including primary keys, foreign keys, unique constraints, and check constraints. * Master the steps required to transition a conceptual model into a robust logical relational schema. The course begins with foundational terminology and definitions, progresses through conceptual modeling techniques, and culminates in the practical application of normalization and schema refinement through written exercises. This course is designed for absolute beginners—developers, analysts, or students—who need a solid theoretical foundation in database design. No prior knowledge of SQL or database systems is required. Start reading today and build the skills required to design high-quality, reliable database systems.