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Using SQL Window Functions in Databricks and Apache Spark - Lesson 16

Offered By: Bryan Cafferky via YouTube

Tags

Apache Spark Courses Databricks Courses Data Engineering Courses

Course Description

Overview

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.

Syllabus

Introduction
What are Window Functions
Key Terms
Partition Frame
Rank
Lowest Highest
End Tile
Wrap Up


Taught by

Bryan Cafferky

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