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SQL Server on Azure Virtual Machines

You're reading from   SQL Server on Azure Virtual Machines A hands-on guide to provisioning Microsoft SQL Server on Azure VMs

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781800204591
Length 200 pages
Edition 1st Edition
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Authors (7):
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Louis Davidson Louis Davidson
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Louis Davidson
John Martin John Martin
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John Martin
Tim Radney Tim Radney
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Tim Radney
Anthony Nocentino Anthony Nocentino
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Anthony Nocentino
Allan Hirt Allan Hirt
Author Profile Icon Allan Hirt
Allan Hirt
Joey D'Antoni Joey D'Antoni
Author Profile Icon Joey D'Antoni
Joey D'Antoni
Randolph West Randolph West
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Randolph West
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to SQL Server on Azure Virtual Machines 2. Getting started with SQL Server on Azure Virtual Machines FREE CHAPTER 3. Hero capabilities of SQL Server on Azure Virtual Machines 4. SQL Server on Linux in Azure Virtual Machines 5. Performance 6. Moving workloads to SQL Server on Azure Virtual Machines 7. Hybrid scenarios (Microsoft SQL IaaS) Index
Appendix A

Summary

As we worked through this chapter, we had a look at how we can accelerate our adoption of cloud data platforms with SQL Server and Power BI. Microsoft recommends that the fastest way to realize the value of SQL Server in Azure is to lift and shift. This has many benefits from a familiarity perspective, meaning the removal of many barriers.

We looked at how to prepare for and then execute a migration to SQL Server on Azure VMs, highlighting several great free tools that are available to ensure a successful migration. Here's a step-by-step guide on how to migrate from on-premises SQL Server to SQL Server on Azure VMs16.

But this is only the beginning. Once we have got our databases into Azure, we can then look to take the next steps and move from an IaaS solution to PaaS. Many of the tools and techniques we have covered here still apply. There are more considerations on the application front, especially around authentication. But making the step to move to Azure SQL...

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