Database Design and Relational Data Modeling Fundamentals

Designing a reliable database architecture is the foundational step for building scalable, high-performance software applications. Without proper data structuring, systems face data redundancy, inconsistency, and severe query performance issues. This course guides you step by step through the essential principles of database design, from initial domain analysis to complete SQL schema definitions. You will learn how to break down complex business domains into structured entities, select optimal data types, establish relationships, and apply normalization rules. In addition to traditional relational principles, you will explore modern database practices, such as incorporating flexible semi-structured data types alongside rigid schema designs. What you will learn: Understand foundational database terminology, relational principles, and schema architecture. Analyze domain requirements to identify key entities, attributes, and business rules. Design clear entity-relationship schemas and define primary and foreign key constraints. Apply normalization techniques to eliminate redundancy and maintain data integrity. Choose appropriate data types and explore basic indexing strategies for better efficiency. Explore modern schema patterns that combine structured relational tables with flexible JSON structures. Write clean SQL DDL code to define and instantiate your database structures. The course starts with essential terminology and conceptual models before advancing to relational normalization and practical schema implementation. Designed specifically for beginners, software developers, and aspiring data professionals, this course requires no prior database engineering experience. Start reading today to build a strong foundation in modern database design.