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Top 10 Database Design Mistakes and How to Avoid Them
Designing a robust and scalable database is essential for high-performance applications. However, many developers make critical database design mistakes that lead to poor performance, data inconsistency, and maintenance nightmares.
In this article, we will cover the Top 10 Database Design Mistakes and discuss best practices to avoid them.
For non-members, read the same article on my blog for free: Top 10 Database Design Mistakes and How to Avoid Them.
1️⃣ Not Normalizing the Database Properly 🏛️
❌ Mistake: Storing Data in a Single Table
Some developers store all data in one table, leading to redundancy, inefficiency, and difficulty in updates.
Bad Example (Denormalized Table): ❌
✔ Issue: Customer data is repeated, violating 1NF (First Normal Form).
✅ Solution: Normalize the Database (3NF)
✔ Good Example (Normalized Table): ✅
Customers Table:
Orders Table:
✔ Best Practices:
- Follow 1NF, 2NF, and 3NF for better data integrity.
- Avoid repeating groups and redundant data.
