Database Design

External Article

The Myth of Over-Normalization

  • Article

Too often, denormalization is suggested as the first thing to consider when tackling query performance problems. It is said to be a necessary compromise to be made when a rigorous logical design hits an inadequate database system. As the saying goes, “Normalize ‘til it hurts, then denormalize ‘til it works”. In reality, Denormalization always leads eventually to tears.

2008-07-28

7,924 reads

Blogs

Claude Code Helps Analyze Test Data Manager Log Files

By

I had a customer ask about analyzing their Test Data Manager (TDM) usage to...

PowerPoint to HTML with Claude AI

By

I had an idea for an animated view of a sales tool, and started...

Don’t Miss Out – SQL Server Query Tuning Fundamentals Starts Next Monday!

By

Next Monday, February 9, 2026, my one-day live online training SQL Server Query Tuning...

Read the latest Blogs

Forums

SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance

By Site Owners

Comments posted to this topic are about the item SQL Server 2025 Query Performance...

Is it uncommon for Dev's to have a data model of the source data

By Coffee_&_SQL

This is a generic question. To the moderators, I wasn't sure where to place...

ROLLUP to calculate Month total for all Categories

By Reh23

Good Afternoon, I have built a table with four columns:  Period(Month), Category, Numerator, Denominator....

Visit the forum

Question of the Day

Creating JSON I

On SQL Server 2025, what happens when I run this code:

SELECT JSON_OBJECTAGG( 'City':'Denver')
GO

See possible answers