SQL Window Functions Beyond Basics: Solving Real Business Problems
The article discusses advanced SQL window functions and their applications in solving real business problems. It highlights the importance of running totals and sessionization in data analysis. Practical examples are provided to illustrate how these functions can be utilized effectively.
- ▪Running totals are commonly used in finance to track cumulative monthly revenue.
- ▪Sessionization involves grouping raw event streams into sessions based on user activity.
- ▪The article provides SQL code examples for calculating cumulative revenue and identifying user streaks.
Opening excerpt (first ~120 words) tap to expand
# Introduction Most of you use SQL window functions, but you're only scratching the surface — a ROW_NUMBER() here, a SUM() OVER() there. The window functions' real potential is revealed when you apply them to harder problems. I will walk you through four patterns that show window functions at their most useful. The examples are all real interview questions you can practice on StrataScratch. # Running Totals Calculating running totals is one of the most common business uses of window functions. The finance people absolutely love it! It is used to track cumulative monthly revenue, which then easily moves into calculating where you're at compared to the annual revenue target.
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