11/11/2024
Unlocking the Power of SQL Window Functions:
Imagine being able to analyze data row by row while simultaneously seeing the bigger picture. That's the magic of SQL Analytical Functions. These clever tools, often called window functions, let you peer through different 'windows' of your data, performing calculations that consider both the current row and its related rows—all while keeping your detailed data intact.
Topics Covered
1. Understanding Analytical Functions Syntax\
2. Common Analytical Functions
-Ranking Functions: ROW_NUMBER(),RANK(), DENSE_RANK() and NTILE(): Breaking Data into Buckets
-Value Functions: LAG(), LEAD(), FIRST_VALUE() and LAST_VALUE()
-Statistical Functions: PERCENT_RANK() and CUME_DIST()
3. Advanced Usage: Combining Multiple Analytical Functions
4. Understanding Aggregate Functions as Analytical Functions
-SUM(), COUNT(), AVG(), MIN(), MAX() and LISTAGG() as Analytical Functions
5. Advanced Usage: Combining Multiple Analytical Functions
and many more. Visit the site for more detailed explanation with example
https://techybuddy.in/sql-analytical-functions-an-ultimate-guide-to-data-analysis/
