Aggregate Functions in MySQL: What They Are, Examples, and Best Practices

For developers, analysts, and database professionals working with MySQL, mastering aggregate functions is non-negotiable. A comprehensive guide published by Devart provides a thorough breakdown of how to use COUNT(), SUM(), AVG(), MIN(), and MAX() to extract actionable insights from large datasets.

The article covers both basic and advanced usage patterns—from counting non-NULL values to grouping data with GROUP BY and filtering aggregates using HAVING. It also walks readers through practical examples using the Sakila database, making it an accessible resource regardless of experience level.

What sets this guide apart is its integration with dbForge Studio for MySQL, a full-featured MySQL IDE that simplifies query building through a visual interface, intelligent code completion, and built-in analytics tools. These features help streamline data operations and boost productivity, especially when working with complex queries and large datasets.

Read the full guide on MySQL aggregate functions.