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Azure SQL Database: Diagnosing Performance Issues with DMVs

Learn how to easily query Azure SQL Database for performance and configuration information to help identify and fix issues that can affect performance and stability. This course is applicable to anyone responsible for Azure SQL Database.

Intermediate
1h 30m
(19)

Created by Glenn Berry

Last Updated Sep 05, 2019

Course Thumbnail
  • Course

Azure SQL Database: Diagnosing Performance Issues with DMVs

Learn how to easily query Azure SQL Database for performance and configuration information to help identify and fix issues that can affect performance and stability. This course is applicable to anyone responsible for Azure SQL Database.

Intermediate
1h 30m
(19)

Created by Glenn Berry

Last Updated Sep 05, 2019

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This course is included in the libraries shown below:

  • Cloud
  • Data
What you'll learn

It is very common for Azure SQL Databases to have workload performance problems. In this course, Azure SQL Database: Diagnosing Performance Issues with DMVs, you will learn how to use a variety of DMV queries to find performance and configuration information in Azure SQL Database. First, you will see how to diagnose and fix configuration issues at the database level. Next, you will discover how to diagnose and fix performance issues related to CPU and workload activity. Finally, you will explore how to find and fix issues related to storage and memory. When you are finished with this course, you will have the skills and knowledge to use these DMV queries to increase the performance and stability of your workload on Azure SQL Database.

Azure SQL Database: Diagnosing Performance Issues with DMVs
Intermediate
1h 30m
(19)
Table of contents

About the author
Glenn Berry - Pluralsight course - Azure SQL Database: Diagnosing Performance Issues with DMVs
Glenn Berry
16 courses 4.4 author rating 1797 ratings

Glenn works as a Principal Consultant at SQLskills.com. He has been a SQL Server MVP since 2007, and he is also an Adjunct Faculty member at University College - University of Denver. He is the author of the book SQL Server Hardware (Redgate 2011), and he wrote chapters for both SQL Server MVP Deep Dives books.

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