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Introducing Microsoft SQL Server 2019

You're reading from   Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Length 488 pages
Edition 1st Edition
Languages
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Authors (8):
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Allan Hirt Allan Hirt
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Allan Hirt
Dustin Ryan Dustin Ryan
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Dustin Ryan
Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Kellyn Gorman Kellyn Gorman
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Kellyn Gorman
Dave Noderer Dave Noderer
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Dave Noderer
Buck Woody Buck Woody
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Buck Woody
Arun Sirpal Arun Sirpal
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Arun Sirpal
James Rowland-Jones James Rowland-Jones
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James Rowland-Jones
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Table of Contents (15) Chapters Close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security FREE CHAPTER 3. High Availability and Disaster Recovery 4. Hybrid Features – SQL Server and Microsoft Azure 5. SQL Server 2019 on Linux 6. SQL Server 2019 in Containers and Kubernetes 7. Data Virtualization 8. Machine Learning Services Extensibility Framework 9. SQL Server 2019 Big Data Clusters 10. Enhancing the Developer Experience 11. Data Warehousing 12. Analysis Services 13. Power BI Report Server 14. Modernization to the Azure Cloud

File-snapshot backups

One of the benefits of configuring SQL Server data files in Azure is the ability to leverage file-snapshot backups. This is summarized in Figure 4.13, where 1 shows the successful setup of the data files in Azure (a prerequisite covered earlier on) and 2 is the high-level design of how the data files and snapshot files interact with each other after a full backup takes place:

Figure 14.13: Snapshot backups
Figure 4.13: Snapshot backups

The full database backup using snapshot technology creates a snapshot of each data and log file that is part of the database and establishes the transaction log backup chain for point-in-time recovery. When consequent transaction log backups are taken, transaction log file-snapshot backups are generated, which contain file snapshots of all database files, too. These can then be used to perform a database restore or a log restore to a point in time. This approach means that you do not need additional full or differential backups after...

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