data-modeling
Design data models that make invalid states impossible — entities & relationships, normalization (1NF–3NF) vs deliberate denormalization, keys & indexing, relational vs document/NoSQL, OLTP vs OLAP, and schema evolution. Deep reference with SQL examples and a runnable schema linter.
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Overview
A good data model makes correct states easy and invalid states impossible. The schema is the one part of a system that is hardest to change later — application code is rewritten constantly, but a table that millions of rows and a dozen services depend on calcifies fast. Get the model right and most "hard" application bugs simply cannot be represented. This skill is the deep reference: the decision
What it covers
- Entities & relationships
- Normalization (1NF → 3NF)
- Deliberate denormalization
- Keys & identity
- Indexing
- Relational vs document/NoSQL, OLTP vs OLAP
- Schema evolution