Book Image

Introducing Microsoft SQL Server 2019

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

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)

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...