Database design is where most full-stack developers fail their technical interviews. This guide bridges the gap between basic SQL queries and enterprise-grade data modeling, focusing heavily on MongoDB and NoSQL architectures.
Structured by experience level (0 to 4+ years), this playbook covers the critical differences between relational and non-relational paradigms. You will learn how to defend your choices between embedding vs. referencing documents, write performant Aggregation Pipelines, and implement advanced indexing strategies to prevent slow collection scans.
For senior roles, we tackle horizontal scaling through sharding, replica sets, and handling ACID transactions in distributed systems. To give you a competitive edge, the guide features a comprehensive data modeling challenge based on a real-world personal finance application, teaching you exactly how to structure schemas for high-throughput financial transactions.