How was data modeled?
Practice this questionDiscussion template: use your own project facts, ownership, and measured outcomes. Bracketed text is a placeholder.
Short explanation:
Data modeling identifies the records, relationships and constraints needed to represent the business correctly. A model should support the important reads and prevent invalid writes. Explain it through a real workflow so each table, document or relationship has a reason to exist.
Key points:
-
Name the main records and their relationships.
-
Explain one real key, constraint or index and why it was needed.
-
Include one uniqueness or ownership rule and describe where it was enforced.
Interview point:
- Distinguish the logical model from the ORM decorators used to express it.
Adapted from 10_RESUME_PROJECT_DEEP_DIVE.md · “How was data modeled?”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.