How to write Window Aggregation Function (COUNT() OVER,SUM() OVER) in Spark SQL(DataBricks)

Опубликовано: 24 Октябрь 2024
на канале: Analytica Learning

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Window functions are the most profound feature supported by both the SQL standard and Microsoft SQL Server’s dialect(T-SQL). They allow us to perform calculations against sets of rows in a flexible, clear, and efficient manner.

In this video, I am discussing the concepts and advantages of using windows aggregation functions in SQL Server 2019 or Azure SQL. Additionally, I am showing a quick demo to use aggregate functions for calculating running total, averages and summation within SQL Statements.

If you want to see the Introduction to Windows Analytical function using Spark, please watch following video.
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