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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

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...

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