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Monitor and Optimize Queries in Databricks SQL

Learn to monitor and optimize Databricks SQL queries. This course will teach you to master query history, query profile, warehouse configuration, and Delta table optimization techniques like liquid clustering to deliver faster results at lower cost.

Beginner
1h 13m

Created by Zachary Bennett

Last Updated Apr 10, 2026

Course Thumbnail
  • Course

Monitor and Optimize Queries in Databricks SQL

Learn to monitor and optimize Databricks SQL queries. This course will teach you to master query history, query profile, warehouse configuration, and Delta table optimization techniques like liquid clustering to deliver faster results at lower cost.

Beginner
1h 13m

Created by Zachary Bennett

Last Updated Apr 10, 2026

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What you'll learn

Your Databricks SQL queries run slower than expected, costs are climbing, and you're not sure why. Dashboards time out, ETL jobs miss SLAs, and stakeholders are frustrated.

In this course, Monitor and Optimize Queries in Databricks SQL, you'll gain the ability to diagnose performance bottlenecks and apply targeted optimizations that deliver faster queries at lower cost.

First, you'll explore how Databricks SQL executes queries, including the role of SQL warehouses, the Photon engine, and the stages of query execution from planning through result delivery.

Next, you'll discover how to use query history and query profile to pinpoint slow operators, detect issues like large scans and skewed joins, and interpret the metrics that matter.

Finally, you'll learn how to optimize workloads using techniques like partition pruning, result caching, liquid clustering, and predictive optimization—plus how to choose the right warehouse size and scaling strategy.

When you're finished with this course, you'll have the skills needed to monitor and optimize your queries for faster, more effective results.

Monitor and Optimize Queries in Databricks SQL
Beginner
1h 13m
Table of contents

About the author
Zachary Bennett - Pluralsight course - Monitor and Optimize Queries in Databricks SQL
Zachary Bennett
50 courses 4.4 author rating 260 ratings

Zach is currently a Senior Software Engineer at VMware where he uses tools such as Python, Docker, Node, and Angular along with various Machine Learning and Data Science techniques/principles. Prior to his current role, Zach worked on submarine software and has a passion for GIS programming along with open-source software.

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