Data Aggregation and Grouping

Keep in mind that SQL functions operate in a declarative manner. This means that when coding in SQL, we aim to articulate our requirements using SQL keywords, steering clear of intricate implementation details. SQL encompasses a broad array of keywords designed to aid us in this task.

Data aggregation functions

Let’s now aim to analyze sales performance and extract insights into overall sales figures. Our goal is to create a comprehensive report revealing information such as the total number of transactions, the aggregate quantity of products sold, the average transaction amount, and the highest individual transaction amount. 

To achieve insights such as these, we utilize various aggregate functions available in SQL, including COUNT(), SUM(), AVG(), MIN(), and MAX(). These functions empower us to effectively summarize and analyze data, providing a holistic perspective on overall performance. By leveraging the capabilities of these powerful SQL functions, we can distill valuable information from the dataset, facilitating a more informed assessment of trends and patterns.