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SQL Server Policy Management

Contents

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Introduction
1
SQL Agent Jobs
Azure Automation Service
Elastic Jobs
18
Automated Tuning
Automated Patching
Summary

The course is part of this learning path

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Overview
DifficultyIntermediate
Duration1h 1m
Students61

Description

Whether you’re running SQL Server on-premise, in a VM, on a managed instance, or using Azure SQL, there is maintenance to be performed and other tasks that need to be executed on a regular basis. In this course, we will look at the options available to you in these various environments for automating maintenance and regularly repeated tasks.

SQL Server has a long history of task automation through SQL Server agent, not only will we see how to use it but also how it’s been adapted to carry out maintenance tasks, and how similar functionality has made it into Azure services. From mundane single-database scheduled backups through to task and performance automation across multiple servers, this course looks at on-premise and in-cloud options.

If you have any feedback relating to this course, feel free to contact us at support@cloudacademy.com.

Learning Objectives

  • Maintain your databases and data through the use of maintenance plans and the SQL Server Maintenance Wizard
  • Use SQL Agent Jobs to automate maintenance tasks
  • Automate maintenance across multiple SQL servers
  • Set up rules to enforce policies
  • Back up your SQL Server instances using Azure Recovery Services Vault
  • Learn about the Azure Automation Service and how it can be used
  • Use Elastic Jobs to schedule tasks within the context of databases
  • Manage database performance with Automated Tuning
  • Manage database updates with Automated Patching

Intended Audience

  • Data engineers
  • Database engineers
  • IT professionals or anyone looking to learn about automating tasks in Azure SQL and SQL server

Prerequisites

To get the most out of this course, you should have experience with SQL Server Management Studio, be familiar with reading and writing SQL, and have an understanding of basic database architecture and administration tasks, like indexes and backups.

 

Course Related SQL Scripts

https://github.com/cloudacademy/azure-sql-task-automation-dp-300

Transcript

Policy Management is a feature of SQL Server that will allow you to set up complex rules that can enforce policies on the server and databases. A policy is made up of conditions that specify what kind of server objects, called facets that the policy is applied to. A condition is made up of expressions that can be simple equivalence statements like a table name is equal to a particular value, or complex expressions involving SQL statements.

A policy can be triggered manually, or when a change happens and it prevents the change. It can be triggered when a change is logged, so after-the-fact, and a policy can be run on a schedule. Having said that not all policies have the ability to be evaluated on SQL object changes. Another way of saying that is that all policies can be evaluated manually, that is on-demand and on a schedule. This query will tell you which facets support the on change prevent mode.

In addition, allow triggers to fire others in advanced server properties must also be set to true. Let's have a look at how we might implement SQL Server policies.

About the Author
Students8561
Courses13
Learning paths1

Hallam is a software architect with over 20 years experience across a wide range of industries. He began his software career as a  Delphi/Interbase disciple but changed his allegiance to Microsoft with its deep and broad ecosystem. While Hallam has designed and crafted custom software utilizing web, mobile and desktop technologies, good quality reliable data is the key to a successful solution. The challenge of quickly turning data into useful information for digestion by humans and machines has led Hallam to specialize in database design and process automation. Showing customers how leverage new technology to change and improve their business processes is one of the key drivers keeping Hallam coming back to the keyboard.