Data Modeling: Core Concepts

Data modeling turns real-world requirements into explicit structures, identities, relationships, constraints, and lifecycles.

Normalization decomposes certain repeated or dependency-heavy structures so each fact is stored in a controlled place.

Anomalies reveal weak models: duplicated values drift apart, deleting one record unexpectedly erases unrelated facts, or updates require changing many copies.