Book Image

Introducing Microsoft SQL Server 2019

By : Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody
Book Image

Introducing Microsoft SQL Server 2019

By: Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody

Overview of this book

Microsoft SQL Server comes equipped with industry-leading features and the best online transaction processing capabilities. If you are looking to work with data processing and management, getting up to speed with Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you through the latest features in SQL Server 2019 and their importance. You will learn to unlock faster querying speeds and understand how to leverage the new and improved security features to build robust data management solutions. Further chapters will assist you with integrating, managing, and analyzing all data, including relational, NoSQL, and unstructured big data using SQL Server 2019. Dedicated sections in the book will also demonstrate how you can use SQL Server 2019 to leverage data processing platforms, such as Apache Hadoop and Spark, and containerization technologies like Docker and Kubernetes to control your data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and understand how to use them confidently to build robust data management solutions.
Table of Contents (15 chapters)

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...