Book Image

SQL Server 2017 Developer???s Guide

Book Image

SQL Server 2017 Developer???s Guide

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 (25 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Free Chapter
1
Introduction to SQL Server 2017
Index

Summary


SQL Server 2016 and 2017 system-versioned temporal tables are a very nice feature you can start using immediately, without changes to your applications. You can use them for auditing all changes in specific tables. You can retrieve the state of those tables at any point in time in history. You can find all states and changes in a specific period. SQL Server automatically updates the period in the current row and inserts the old version of the row into the history table as soon as you update the current row.

Nevertheless, there is still a lot to do in future versions of SQL Server. We still need better support for application validity times, including support for constraints and optimization of temporal queries, and more flexibility in the history retention policy.

In the next chapter, you will learn the basics of SQL Server security, together with new security features in SQL Server 2016 and 2017.