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SQL Server 2017 Developer???s Guide

SQL Server 2017 Developer???s Guide

3.6 (5)
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SQL Server 2017 Developer???s Guide

SQL Server 2017 Developer???s Guide

3.6 (5)

Overview of this book

Microsoft SQL Server 2017 is a milestone in Microsoft's data platform timeline, as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. This book prepares you for advanced topics by starting with a quick introduction to SQL Server 2017's new features. Then, it introduces you to enhancements in the Transact-SQL language and new database engine capabilities before switching to a different technology: JSON support. You will take a look at the security enhancements and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Toward the end of the book, you'll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You'll also learn to integrate Python code into SQL Server and graph database implementations as well as the deployment options on Linux and SQL Server in containers for development and testing. By the end of this book, you will be armed to design efficient, high-performance database applications without any hassle.
Table of Contents (19 chapters)
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1
Introduction to SQL Server 2017

JSON Support in SQL Server

In the last few years, JSON has been established as a standard format for data exchange among applications and services. XML is still the exchange standard (and will remain so), but many applications communicate by exchanging JSON data instead of XML documents. Therefore, the most important relational database management system products need to support JSON.

Two release cycles after the feature was requested by the community, Microsoft has implemented built-in JSON support in SQL Server 2016. The support is not as comprehensive as for XML, but for most databases and workloads, it will be quite fine.

This chapter explores how SQL Server stores and processes JSON data, with a comprehensive comparison between JSON and XML support in SQL Server.

The most important actions related to JSON data in SQL Server are demonstrated in detail:

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