Stop Using Subqueries for Window Functions! 🛑 (QUALIFY Keyword)

Stop Using Subqueries for Window Functions!. Learn how to use the QUALIFY keyword in Databricks Spark SQL with this comprehensive Azure Databricks tutorial. This video is part of our Azure Data Engineering series and covers practical examples and use cases to help you master Spark SQL for your data projects in 2026. In this tutorial, you'll learn: - What the QUALIFY keyword is and how it works in Spark SQL - Step-by-step instructions on using QUALIFY in Azure Databricks - Best practices for data engineering with Azure Databricks Chapters: 00:00 - The Problem: Filtering Window Functions in SQL [01:04] 00:01:17 - Setting up Databricks Runtime 10.0+ [01:24] 00:01:46 - The "Old Way": Using Subqueries for Rank Filtering [04:39] 00:05:16 - The "CTE Way": Filtering with Common Table Expressions [05:23] 00:05:39 - The "Modern Way": Introducing the QUALIFY Keyword [06:05] 00:06:45 - Performance vs. Readability: Which one should you choose? [07:08] 00:07:17 - Migration Tip: Snowflake & BigQuery to Databricks [07:24] Whether you're a beginner or an experienced data engineer, this video will enhance your understanding of Spark SQL in Databricks. #AzureDatabricks #SparkSQL #DataEngineering #Azure #Databricks #QUALIFYKeyword If you found this video helpful, please like, share, and comment below with your questions or feedback! =================== More Videos on Apache Spark in Databricks: https://www.youtube.com/watch?v=A-yDjCS6s5Q&list=PLY6Ag0EOw54zqTfEi9YHotkhYMgzDyS-m =================== Blog: www.learntospark.blogspot.com Linkedin profile: https://www.linkedin.com/in/azarudeen-s-83652474/