Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
SQL Server on Azure Virtual Machines

You're reading from  SQL Server on Azure Virtual Machines

Product type Book
Published in Jun 2020
Publisher Packt
ISBN-13 9781800204591
Pages 200 pages
Edition 1st Edition
Languages
Concepts
Authors (7):
Joey D'Antoni Joey D'Antoni
Profile icon Joey D'Antoni
Louis Davidson Louis Davidson
Profile icon Louis Davidson
Allan Hirt Allan Hirt
Profile icon Allan Hirt
John Martin John Martin
Profile icon John Martin
Anthony Nocentino Anthony Nocentino
Profile icon Anthony Nocentino
Tim Radney Tim Radney
Profile icon Tim Radney
Randolph West Randolph West
Profile icon Randolph West
View More author details
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 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €14.99/month. Cancel anytime