Description

T-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 T-SQL window functions. At its end, you'll embrace this topic with ease and feel comfortable using window functions in SQL Server databases.

Window functions are so powerful that they serve as a dividing point in time: people talk about SQL Server before window functions and SQL Server after window functions. Because they were introduced into the standard relatively recently, these functions aren't covered in many T-SQL courses.

About the Window Functions in SQL Server Course
This course covers the syntax and semantics of T-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 T-SQL, including:

• How to select from a single table, including writing complex WHERE conditions
• How to JOIN tables
• How GROUP BY and HAVING work

What are the requirements?

• A web browser
• Knowledge of basic T-SQL, including JOINs and GROUP BY clauses

What Am I Going to Get from This SQL Course?

In this MS SQL Server course you will learn:

• The syntax of the OVER() clause
• How to combine OVER() and PARTITION BY
• How to combine OVER() and ORDER BY
• How to rank rows using RANK, DENSE_RANK, and ROW_NUMBER
• How to create sophisticated window frames using ROWS and RANGE.
• The syntax of the analytic functions LEAD, LAG, FIRST_VALUE, LAST_VALUE, and NTILE.
• How to combine window functions and GROUP BY
• When to use window functions and when to use GROUP BY

You'll discover how window functions in MS SQL Server can be used to:

• Build rankings
• Compute running totals and running averages
• Find the best and worst performers
• Investigate trends across time
• Calculate contributions to the whole, such as commission percentages

You'll also get a deeper understanding of T-SQL aggregate functions.

Who Should Take This Course?

• Beginning database analysts
• Developers who want to keep their knowledge of SQL Server current
• Students taking classes in relational databases
• Anyone who wants to learn SQL window functions