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  • Book Overview & Buying Introducing Microsoft SQL Server 2019
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Introducing Microsoft SQL Server 2019

Introducing Microsoft SQL Server 2019

By : Kellyn Gorman , Allan Hirt , Dave Noderer , Mitchell Pearson, James Rowland-Jones , Dustin Ryan , Arun Sirpal , Buck Woody
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Introducing Microsoft SQL Server 2019

Introducing Microsoft SQL Server 2019

By: Kellyn Gorman , Allan Hirt , Dave Noderer , Mitchell Pearson, James Rowland-Jones , Dustin Ryan , Arun Sirpal , Buck Woody

Overview of this book

Microsoft SQL Server comes equipped with industry-leading features and the best online transaction processing capabilities. If you are looking to work with data processing and management, getting up to speed with Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you through the latest features in SQL Server 2019 and their importance. You will learn to unlock faster querying speeds and understand how to leverage the new and improved security features to build robust data management solutions. Further chapters will assist you with integrating, managing, and analyzing all data, including relational, NoSQL, and unstructured big data using SQL Server 2019. Dedicated sections in the book will also demonstrate how you can use SQL Server 2019 to leverage data processing platforms, such as Apache Hadoop and Spark, and containerization technologies like Docker and Kubernetes to control your data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and understand how to use them confidently to build robust data management solutions.
Table of Contents (15 chapters)
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Machine learning using the Machine Learning Services extensibility framework

The machine learning services extensibility framework is an architecture that allows a language processing environment (such as the R, Python, or Java runtimes) to run alongside the SQL Server engine. Using a service, the language runtime can then accept, process, and pass back data to and from SQL Server securely and quickly. We'll examine the complete Machine Learning Services extensibility framework architecture once you have learned more about working with the languages.

Python, R, and Java all use the Machine Learning Services extensibility framework to run machine learning code. The following sections will provide an overview of how that process works from the development process, starting with R.

Note

You can use two general methods to code machine learning systems in SQL Server: Writing the code in-database; or creating Python and R code locally and processing the calls on the database...

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Introducing Microsoft SQL Server 2019
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