At times, the information we seek is spread across several tables, which requires us to utilize 'JOIN' operations along with our 'SELECT' statement. For example, if we have a table named 'Departments' containing the columns 'Department_id', 'Department_Name', and 'Manager_id', and we need to find the department name and manager ID for an employee with an 'Employee_id' of '100', the SQL query would be structured as follows: SELECT Departments . Department_Name , Departments . Manager_id FROM Employees JOIN Departments ON Employees . Department = Departments . Department_id WHERE Employee_id = 100 ; In this example, we applied a 'JOIN' clause to merge rows from the 'Employees' and 'Departments' tables based on a shared column, and then we filtered to retrieve the row corresponding to 'Employee_id' = '100' using the 'WHERE' clause.