Database Design Patterns for Scalable Applications
Good database design is foundational to application scalability and performance. Here are proven patterns for different scenarios. Normalization vs Denormalization: Normalize to reduce redundancy and ensure data integrity. Denormalize for read-heavy workloads where performance matters more than storage efficiency. Indexing Strategy: Create indexes for frequently queried columns, but avoid over-indexing. Each index adds write overhead. Use composite indexes for multi-column queries. Partitioning: Split large tables into smaller, more manageable pieces. Range partitioning by date is common for time-series data....