Design Considerations of Yelp
Discover how to design a highly scalable proximity service like Yelp by addressing core challenges such as searching and data partitioning. Implement dynamic segmentation and QuadTrees for efficient spatial indexing. Evaluate the final System Design against non-functional requirements like availability and performance.
Introduction
The previous lesson covered the system architecture, core components, and overall workflow, which raised several open design questions. For example, how should the system retrieve nearby places, and how should it rank them by popularity? This lesson addresses these design concerns. The following table summarizes the objectives of this lesson.