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.
Using SQL Window Functions in Databricks and Apache Spark - Lesson 16
Overview
Syllabus
Introduction
What are Window Functions
Key Terms
Partition Frame
Rank
Lowest Highest
End Tile
Wrap Up
Taught by
Bryan Cafferky
