Normalization vs. Denormalization Trade-offs
Understand the balance between data integrity and query performance when designing your schema.
Data Modeling Choices
Designing your database schema is crucial for performance. Two key approaches, normalization and denormalization, offer different trade-offs.
Understanding these trade-offs helps you build efficient and reliable PostgreSQL databases.
Understanding Normalization
Normalization is a database design technique that organizes tables to reduce data redundancy and improve data integrity.
It aims to eliminate duplicate data and ensure that data dependencies make sense, often by splitting large tables into smaller, related ones.
All lessons in this course
- Normalization vs. Denormalization Trade-offs
- Choosing Appropriate Data Types
- Partitioning Large Tables
- Designing Primary Keys and Surrogate Keys