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)

Transactional replication

Once you have completed setup and the final data changes have been applied to the subscriber (Azure SQL Database), all that is needed is application configuration redirection from your on-premises database to Azure. Please note that Azure SQL Database must be a push subscriber of a SQL Server publisher. Pull subscribers are not supported.

You could also use this technique to move a subset of tables to Azure, which would become a reporting database. Once set up, your users could then use tools such as SQL Server Reporting Services (SSRS) and Power BI to query the data. This is a great technique because not only are you splitting the OLTP workloads and read-based workloads from each other, but this secondary reporting database is benefiting from being in Azure. As such, all your high-availability and disaster recovery needs are being met with 99.99% SLA uptime:

Figure 14.18: Transactional replication in Azure
Figure 4.18: Transactional replication in Azure

Prerequisites

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