Job-Ready SQL in an Afternoon - Using Other Rows with Window Functions

The video tutorial explores advanced SQL techniques, focusing on window functions like LEAD and LAG. It demonstrates how to perform running aggregations, access data from other rows, and calculate time differences between invoices. The tutorial also covers partitioning data by customer ID to analyze specific groups, emphasizing the flexibility and power of window functions in SQL.

What is the role of the 'order by' clause in window functions?

How can you modify a SQL query to include both 'lead' and 'lag' functions for invoice analysis?

In what scenarios might you encounter null values when using window functions?

How can you use window functions to analyze data on a partition basis?