Database Design for High Performance

As data volumes grow, poorly structured databases slow down applications and frustrate users. Designing with performance in mind from day one is essential for building responsive, scalable software. This text-based course guides you through the foundational principles of performance-driven database design, helping you transition from basic data storage to building highly efficient schemas. What you'll learn: - Understand the core concepts of relational database engines and how they store data. - Apply normalization and strategic denormalization to balance data integrity and read speed. - Design efficient indexing strategies, including composite and partial indexes, to accelerate queries. - Partition large tables and utilize modern data distribution techniques for scalability. - Analyze query performance using execution plans to identify and resolve bottlenecks. - Practice structural optimization techniques through written scenarios and real-world design challenges. You will start with fundamental database terminology and structural concepts before moving into indexing strategies, schema refinement, and query analysis. This course is designed for aspiring database administrators, backend developers, and tech enthusiasts with no prior experience in database design. Start reading today to build databases that remain fast and reliable under heavy workloads.