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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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Programming SQL Server 2019 big data clusters

After you install your SQL Server 2019 big data cluster, it's time to put it to use. While the options for applications using big data clusters range from almost anything you can do with SQL Server to working with Spark, there are four general areas for using the system, with all ranges of data sizes: Online Transactional Processing (OLTP)/standard queries, data virtualization, as a data mart, and as a data lake with Spark processing capabilities.

Note

It's helpful to refer back to the complete architecture diagram to understand the flow of each of the following operations.

With all of these features in a single location, you can query across multiple systems, in multiple databases and formats, using Transact-SQL. It makes SQL Server your organization's data hub.

Let's start with an examination of the Azure Data Studio tool that you can use to work with big data clusters.

Azure Data Studio

You can...

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