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)

Installing PolyBase as a scale-out group

To enhance the performance and scalability of SQL Server 2019, you can deploy PolyBase as a scale-out group. In this mode, all instances in the group operate as one when querying external data sources. Scale-out groups are particularly useful when querying large partitioned tables or big files out in Hadoop or in Azure Blob storage. Scale-out groups sub-divide and parallelize query processing across the nodes of the scale-out group, which takes full advantage of the distributed architecture.

Note

Scale-out groups are supported on the Windows operating system only. If you want to build a scale-out data virtualization platform on Linux, then use SQL Server 2019 Big Data Clusters, which is optimized for this scenario using Kubernetes. For more information on SQL Server 2019 Big Data Clusters, refer to Chapter 9, SQL Server 2019 Big Data Clusters.

Setting up a scale-out group is relatively straightforward, provided you follow a methodical...