Data Modeling
Use denormalization to reduce the number of joins and improve query performance. Optimize data structures for efficient read access, such as using indexes and caching.
How to Design a Read-Heavy System?
Designing a read-heavy system requires careful consideration of various factors to ensure optimal performance and scalability. A read-heavy system is one in which the majority of operations involve reading data rather than writing or updating it. Examples include content delivery networks (CDNs), social media feeds, and analytics systems. To design a read-heavy system, you need to focus on maximizing read throughput, minimizing latency, and ensuring data consistency.