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Advanced Aggregations

Explore advanced aggregation techniques in SQL to generate detailed sales reports with subtotals and grand totals using WITH ROLLUP. Understand how grouping with automatic totals enhances data analysis efficiency and reporting accuracy. Practice applying these concepts with real query examples to gain hands-on experience in building multi-level summaries for retail data.

In today’s dynamic retail environment, we often need to summarize data to get both detailed insights and an overall picture. Imagine we are tasked with generating a sales report of OnlineStore that not only shows the total sales for each product but also includes a grand total for all products combined. This is where advanced aggregations shine. 

Let's explore the advanced techniques of data aggregation. We'll aim to:

  • Understand why advanced aggregation techniques like WITH ROLLUP are useful.

  • Understand how to perform advanced aggregations using WITH ROLLUP.

  • Perform grouping with automatic subtotals and grand totals.

Understanding advanced aggregation

Advanced aggregation refers to the advanced techniques we use in SQL to perform complex summarizations of our data. While basic aggregation functions like SUM, AVG, ...