concept

Window Functions

Window functions are a type of SQL function that perform calculations across a set of table rows related to the current row, without collapsing the result set into a single output row. They operate on a 'window' of rows defined by an OVER clause, which can partition and order the data. Common uses include ranking, running totals, moving averages, and row comparisons within specific groups.

Also known as: Analytic Functions, Windowed Functions, OVER Functions, SQL Window Functions, Windowing Functions
🧊Why learn Window Functions?

Developers should learn window functions when working with SQL databases to write more efficient and readable queries for analytical tasks, such as calculating cumulative sums, percentiles, or comparing rows within partitions like time periods or categories. They are essential for data analysis, reporting, and business intelligence applications, as they avoid the need for complex self-joins or subqueries, improving performance and maintainability.

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