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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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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

SQL Server 2019 big data cluster components

With an understanding of big data, its processing, architecture, and technologies, and the ability for SQL Server to use these technologies, it's time to put it all together.

All of the components for SQL Server 2019 big data clusters run on a Kubernetes cluster, which you've already learned about. Various nodes on the cluster provide the capabilities you need to run your data workloads, from SQL Server itself, to control systems, storage, Spark, and HDFS. This increases the number of external data sources that you can query, scales out your query processing, provides push-down compute to Parquet and CSV files, and even allows you to mount other storage.

Once again, using a diagram to understand how each part fits together is useful:

Figure 9.5: SQL Server 2019 big data cluster components
Figure 9.5: SQL Server 2019 big data cluster components

Note

You can specify the number of Kubernetes pods/nodes for many of these components, so the preceding...

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