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Introducing Microsoft SQL Server 2019

You're reading from   Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

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

Table of Contents (15) Chapters Close

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