How do you handle data modeling and relational database design in backend systems?
Data modeling and relational database design are critical aspects of backend systems in software development. Data modeling involves defining the structure and relationships of data entities, while database design focuses on the implementation of this model using a relational database management system (RDBMS). By carefully designing the database schema, considering factors like normalization, indexing, and referential integrity, backend systems can efficiently store and retrieve data. Additionally, techniques like ER modeling, UML diagrams, and conceptual, logical, and physical modeling can aid in the process of data modeling and database design. Overall, a well-designed data model and relational database lay a strong foundation for scalable, efficient, and maintainable backend systems.