SQL Server’s window functions allow you to perform calculations across sets of rows that are related to the current row, without collapsing those rows into a single result like traditional GROUP BY aggregates would. When combined with the DATEDIFF() function, they provide a powerful way to analyze temporal patterns in your data.
One potential use case is calculating running totals of time durations. Unlike simple aggregates that give you a single summary value, running totals show you the cumulative duration at each point in a sequence. This can be invaluable for tracking accumulated processing time, measuring cumulative delays, or understanding how total duration builds up over a series of events.