01
Data modeling turns real-world requirements into explicit structures, identities, relationships, constraints, and lifecycles.
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02
Normalization decomposes certain repeated or dependency-heavy structures so each fact is stored in a controlled place.
supported03
Anomalies reveal weak models: duplicated values drift apart, deleting one record unexpectedly erases unrelated facts, or updates require changing many copies.