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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
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Allan Hirt
Joey D'Antoni Joey D'Antoni
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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

3. Hero capabilities of SQL Server on Azure Virtual Machines

While platform as a service (PaaS) databases such as Azure SQL Database have many upsides, the most common SQL Server deployment method on Azure is in an IaaS virtual machine (VM). The typical reasons for this are that partner software may not support PaaS options, or that you may need to work on older versions of the SQL Server engine. Another common scenario is when an organization chooses to run another SQL Server component, such as SQL Server Integration Services (SSIS), alongside the database engine. Some of the other included features that may be used include PolyBase, which allows data virtualization to other data sources such as MongoDB, Oracle, or Teradata. Also, Machine Learning services allows users to execute R, Python, or Java scripts side by side with SQL Server. While this architecture may not offer the best performance, it does maximize the value of licensing. In this chapter, you will learn about...

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