Learn how to use analytic SQL functions to deeply understand data.
SQL window functions – also known as windowing functions, OVER functions, or analytic functions – are tremendously useful. These functions make building complex aggregations much simpler. In this step-by-step tutorial, we will lead you through SQL window functions. At its end, you'll embrace this topic with ease and feel comfortable using window functions in SQL databases.
Window functions are so powerful that they serve as a dividing point in time: people talk about SQL before window functions and SQL after window functions. Because they were introduced into the standard relatively recently, these functions aren't covered in many SQL courses.
Note: Most popular database engines support window functions.
About the Window Functions in SQL Course
This course covers the syntax and semantics of SQL window functions. It shows how powerful they are, what the typical use cases are, and how to use ORDER BY and PARTITION BY to set up a frame for window functions. You'll also learn the difference between ROWS and RANGE clauses.
This course is intended for intermediate users. We assume the user knows the basics of SQL, including:
You'll discover how window functions can be used to:
You'll also get a deeper understanding of SQL aggregate functions.
Window functions? We'll explain what it's all about.
Your first encounter with window functions.
Discover how you can define the function window with PARTITION BY
Learn how you can rank rows with window functions.
Get to know how to create sophisticated window frames for your window functions.
Learn the most essential analytic functions.
Create advanced statistics computed independently for various groups of rows.
Do you know when window functions are evaluated in a SQL query? Let's find out.
Master all the skills you acquired so far in our big practice part.