Book Image

Mastering SQL Server 2017

By : Miloš Radivojević, Dejan Sarka, William Durkin, Christian Cote, Matija Lah
Book Image

Mastering SQL Server 2017

By: Miloš Radivojević, Dejan Sarka, William Durkin, Christian Cote, Matija Lah

Overview of this book

Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You’ll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you’ll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks. By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence. This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Miloš Radivojevi?, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. al
Table of Contents (20 chapters)
Title Page
Free Chapter
1
Introduction to SQL Server 2017

JSON storage in SQL Server 2017

Since XML support was introduced in SQL Server 2005, the native XML data type has been implemented as well. SQL Server 2016 introduces built-in support for JSON but unlike XML, there is no native JSON data type. Here are the reasons that the Microsoft team gave for not introducing a new data type:

  • Migration: Prior to SQL Server 2016, developers already had to deal with JSON data.
  • Cross-feature compatibility: The data type nvarchar is supported in all SQL Server components, so JSON will also be supported everywhere (memory-optimized tables, temporal tables, and Row-Level Security).
  • Client-side support: Even if a new data type were introduced, most of the client tools would still represent it outside SQL Server as a string.

They also noted that if you believe that the JSON binary format from PostgreSQL, or a compressed format, such...