Window functions perform calculations across rows related to the current row. Unlike GROUP BY, they don't collapse rows—you keep the detail while adding aggregated data.
Window Function Basics
Ranking Functions
Aggregate Window Functions
Moving Averages
LAG and LEAD
FIRST_VALUE and LAST_VALUE
Frame Specifications
Practical Examples
Performance Tips
Conclusion
Window functions are powerful for analytics queries. They let you compare rows, calculate running totals, and rank data without losing row-level detail. Master ROW_NUMBER, LAG/LEAD, and running aggregates—they solve most common analytical needs.