Database Selection and System Design Fundamentals

Choosing the wrong database can cripple an application's performance and make scaling nearly impossible. This text-only course guides you through the core principles of database system design, helping you make informed architectural decisions for any project. You will transition from writing simple queries to architecting robust, scalable database backends. Through structured written explanations and practical design scenarios, you will understand how to evaluate data models, plan for high availability, and balance performance trade-offs. What you'll learn: Understand the core differences between relational and non-relational database architectures; Design database schemas that optimize for read or write-heavy application workloads; Apply modern scaling techniques including replication, partitioning, and distributed caching; Evaluate emerging database technologies, including vector databases for modern AI applications; Analyze system design trade-offs using the CAP theorem and ACID compliance principles. The course begins with foundational database concepts and key terminology before advancing to complex distributed system patterns. You will read through real-world architectural scenarios and complete conceptual exercises to solidify your system design skills. This course is designed for beginner developers, aspiring system architects, and software engineering students with no prior system design experience. Start reading today to build a strong foundation in database system design.