Learn how to leverage Spark Structured Query Language (SQL) window functions in Databricks for advanced data engineering tasks. Explore concepts like cumulative totals, ranking values, and incorporating aggregations alongside detail rows to enhance SQL functionality and improve performance. Follow along with practical code demonstrations in a Databricks notebook, covering key terms, partition frames, ranking, and more. Gain valuable insights to streamline your data engineering workflows and save time on complex operations.