Wilfried Roset, an engineering manager at OVHcloud and a Grafana Champion, illustrates how SQL can be used to extract and analyze data from Grafana's database, which is a repository of information about users, dashboards, and data sources. Grafana relies on a database to store its objects, and SQL queries can serve as an internal API to access the same data that Grafana's public HTTP API can expose. By using SQL, users can gather insights into Grafana's usage patterns, such as the number of organizations, users, and dashboards, and identify the most utilized data sources and panel types across dashboards. Roset emphasizes that while SQL provides powerful capabilities for understanding user behavior and system usage, modifications to the database should be avoided to prevent potential disruptions. He highlights that the exploration of Grafana's database with SQL can reveal valuable information, although complex queries might be required for deeper analysis.