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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 overview

In a moment, you'll cover the installation of SQL Server Machine Learning Services and get it up and running. You'll also gain an understanding of its components, configuration, and security, at which point you're ready to get started with your workloads. But just what is machine learning and where would you use it? Let's examine the basics.

Within data science, there are three primary branches for prediction and categorization:

  1. Machine learning: Using patterns and inferences from data rather than explicit programming to perform a task
  2. Artificial intelligence: Applying sensory inputs to learn from data (often using machine learning techniques)
  3. Deep learning: Using layers of machine learning methods to create networks that mimic the human mind's processing of data

Machine learning is the "core" of most of the techniques used in all three branches, and SQL Server 2019 provides a Machine Learning...

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