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)

Management and monitoring

Although you can use and program the SQL Server 2019 big data clusters with standard T-SQL commands, there are quite a few components in addition to a single database server in the system. You'll need to employ some new tools to monitor the system, as well as to manage it.

In general, you'll use your regular SQL Server monitoring tools for database-specific operations, Kubernetes commands for the infrastructure, and visualization and logging tools for a complete overview of the system.

SQL Server components and operations

Since you are dealing with SQL Server in big data clusters, from the master instance to the computer pool, storage pool, and data pool, you can use the full range of tools for monitoring and management that work with any (Linux-based) SQL Server instance. You'll use the standard Dynamic Management Views (DMVs), T-SQL management and monitoring statements, graphical tools in SQL Server Management Studio and Azure Data...