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.
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Record
| Original publisher | KDnuggets |
| Canonical URL | https://www.kdnuggets.com/sql-window-functions-beyond-basics-solving-real-business-problems |
| Publication time | Wed, 20 May 2026 14:00:58 +0000 |
| Retrieval time | 2026-05-20T14:05:02.702Z |
| Last seen | 2026-05-20T14:05:02.702Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | mkJC72Cfvxmh |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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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Excerpt limited to ~120 words for fair-use compliance. The full article is at KDnuggets.