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Introducing Microsoft SQL Server 2019

You're reading from  Introducing Microsoft SQL Server 2019

Product type Book
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Pages 488 pages
Edition 1st Edition
Languages
Authors (8):
Kellyn Gorman Kellyn Gorman
Profile icon Kellyn Gorman
Allan Hirt Allan Hirt
Profile icon Allan Hirt
Dave Noderer Dave Noderer
Profile icon Dave Noderer
Mitchell Pearson Mitchell Pearson
Profile icon Mitchell Pearson
James Rowland-Jones James Rowland-Jones
Profile icon James Rowland-Jones
Dustin Ryan Dustin Ryan
Profile icon Dustin Ryan
Arun Sirpal Arun Sirpal
Profile icon Arun Sirpal
Buck Woody Buck Woody
Profile icon Buck Woody
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Toc

Table of Contents (15) Chapters close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security 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

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...

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