How to Get Relational Data Modeling Right
Designing database tables and relationships so data stays consistent and queries stay simple.
Marcus Adeyemi
What is at stake
Schema decisions are expensive to change later, and poor models cause duplicated data and slow reports.
The playbook
- Model core entities before building features
- Use foreign keys and constraints
- Normalize first, denormalize with evidence
- Document the schema
- Review models with people who know the domain
Where it goes wrong
Avoid:
- Everything in one wide table
- Relationships enforced only in code
- Storing lists in text columns
- Schema changes without migration plans
The numbers behind it
| Measure | Figure |
|---|---|
| Normalization | reduces duplicated data |
| Foreign keys | enforce relationships at the database level |
| Denormalization | trades duplication for read speed |
| Constraints | protect data integrity regardless of application bugs |
Getting outside help
When to hand it over: Bring in help when designing schemas for long-lived products.
Where this comes from
- Microsoft Learn — Relational data
- Laravel Documentation — Database: Getting started
The figures and practices above come from the sources listed.
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