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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
Author Profile Icon James Rowland-Jones
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

Java and machine learning in SQL Server

The Java language and processing platform is a cross-platform, sandboxed, general-use, object-oriented programming language. SQL Server 2019 introduces the Java environment to the external libraries you have available to your code.

Although Java isn't commonly associated with machine learning the way R and Python are, it is used in many big data processing systems and for general processing tasks. That isn't to say it's not used at all in machine learning; in fact, there are several libraries you can load for machine learning in Java. It is, however, well-suited for certain data processing tasks, such as extracting n-grams for natural language processing, calling out to a blockchain tag for inclusion in the machine learning process, and so on.

Note

The intention in SQL Server 2019 Machine Learning Services is that you have several processing languages to choose from based on the task you need to perform. You might process...

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