Book Image

Professional Azure SQL Database Administration

By : Ahmad Osama
Book Image

Professional Azure SQL Database Administration

By: Ahmad Osama

Overview of this book

As the cloud version of SQL Server, Azure SQL Database differs in key ways when it comes to management, maintenance, and administration. It’s important to know how to administer SQL Database to fully benefit from all of the features and functionality that it provides. This book addresses important aspects of an Azure SQL Database instance such as migration, backup restorations, pricing policies, security, scalability, monitoring, performance optimization, high availability, and disaster recovery. It is a complete guide for database administrators, and ideal for those who are planning to migrate from on premise SQL Server database to an Azure SQL Server database.
Table of Contents (13 chapters)
Professional Azure SQL Database Administration
Contributors
Preface
Free Chapter
1
Microsoft Azure SQL Database Primer
4
Restoring an Azure SQL Database
Index

Tuning an Azure SQL Database


Automatic Tuning

Azure SQL Database Automatic tuning utilizes artificial intelligence to continuously monitor and improve queries executed on an Azure SQL Database.

Automatic tuning observes the workload and applies recommendations to speed up performance. The recommendations are applied when the database activity is low so that there aren't any performance impacts when applying recommendations.

The following are the options which are available for automatic tuning.

Create Index

Automatically identify and implement missing indexes to improve workload performance. It also verifies whether or not the indexes created have any improvement on the performance.

Drop Indexes

Automatically identifies and removes duplicate, redundant, and unused indexes.

Force Last Good Plan

Automatically identifies the queries using the execution plan which are slower than the previous good plan and forces the last known good plan to improve the query's performance.

Automatic tuning...