📘 Today's Learning: Using Aggregate Logic Correctly in SQL CASE Statements
While working on a SQL query today, I learned an important concept about using aggregate functions inside a CASE statement.
❌ Incorrect Approach
✅ Correct Approach Using Window Function
Key Takeaways
- Aggregate functions such as
COUNT(),SUM(), andAVG()require either:- A
GROUP BYclause, or - A Window Function (
OVER()).
- A
- Window functions allow you to perform aggregations while still returning detailed row-level data.
COUNT(*) OVER (PARTITION BY column_name)is a powerful way to count records without grouping the result set.- Always use table aliases (
a.column_name,b.column_name) to avoid ambiguity and improve query readability.
Learning Outcome
I gained a better understanding of when to use aggregate functions versus window functions and how to implement row-level calculations without affecting the result set structure.
#SQL #SQLServer #DataAnalytics #BusinessIntelligence #PowerBI #DataEngineering #LearningEveryday #DatabaseDevelopment #AnalyticsJourney


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