SQL Window Functions- Ranking Functions with Real Examples || SQL Full Course #15

#sqltutorial #sqlpractice #sqlinterviewquestionsandanswers #mysql
#mysqlserver #mysqltutorials #mysql_workbench #sqlserver #sqlforbeginners #sqltraining

SQL Window Functions Tutorial: Ranking Employees by Salary Using ROW_NUMBER, RANK, DENSE_RANK, PERCENT_RANK & NTILE(n)

1. Link for Installing MySQL on a Mac:

2. Youtube Link for downloading database and importing it on your local computer:

In this video, I introduce SQL Window Functions and focus on the ranking-based functions, demonstrating their application through a real-world example from my MySQL Workbench database (sql_practice with an employees table).

What’s Covered in This Video:
1. Introduction to Window Functions:
• Overview of three main categories of window functions:
• Aggregate Type (e.g., SUM(), AVG(), COUNT())
• Ranking Type (ROW_NUMBER(), RANK(), DENSE_RANK(), PERCENT_RANK(), NTILE())
• Value Type (LEAD(), LAG(), FIRST_VALUE(), LAST_VALUE(), NTH_VALUE())

Practical Example:
• Data source: employees table from MySQL Workbench (sql_practice database).
• Ranking employees within each department based on salary, assigning rankings accordingly.

Timestamps:
0:00 Intro
0:28 What are window functions in SQL
1:02 Types of window functions
1:28 Syntax for window functions
1:39 Key definitions in window functions
2:24 Example data
3:11 ROW_NUMBER() window function
3:23 ROW_NUMBER() window function example
5:22 RANK() window function
6:18 RANK() window function example
7:03 DENSE_RANK() window function and example
7:43 PERCENT_RANK() window function
7:59 PERCENT_RANK() window function example
8:38 NTILE() window function
9:00 NTILE() window function with example

Why Watch This Video?
• Understand the differences between various SQL ranking window functions.
• Learn practical SQL techniques for data analysis, such as ranking employees by salary.
• Build a strong foundation for advanced SQL analytics using window functions.

Who Is This Video For?
• SQL beginners looking to understand window functions.
• Data analysts and developers seeking practical SQL ranking techniques.
• Anyone preparing for SQL interviews or working with MySQL databases.

SQL Full course
SQL Tutorial
MySQL Practice questions
MySQL interview questions and answers
Sql questions and answers
SQL WINDOW functions