Data Modeling
Master the three levels of data modeling: conceptual (what), logical (how), and physical (where) to design effective data structures.
Master the three levels of data modeling: conceptual (what), logical (how), and physical (where) to design effective data structures.
Design efficient data structures and access patterns for optimal performance and maintainability
Isolate service data with dedicated databases to maintain independence and prevent tight coupling.
Design flexible, client-driven APIs with GraphQL schemas and resolvers
Master logical data modeling to translate business concepts into structured database designs with normalization, constraints, and relationships.
Balance data consistency and query performance through normalization and strategic denormalization
SQL databases with ACID guarantees, normalized schemas, and proven scalability patterns