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

Chapter 1. Introduction to SQL Server 2017

SQL Server is the main relational database management system product from Microsoft. It has been around in one form or another since the late 80s (developed in partnership with Sybase), but as a standalone Microsoft product, it's here since the early 90s. In the last 20 years, SQL Server has changed and evolved, gaining newer features and functionality along the way.

The SQL Server we know today is based on what was arguably the most significant (r)evolutionary step in its history: the release of SQL Server 2005. The changes that were introduced, allowed the versions that followed the 2005 release to take advantage of newer hardware and software improvements, such as: 64-bit memory architecture, better multi-CPU and multi-core support, better alignment with the .NET framework, and many more modernization's in general system architecture.

The incremental changes introduced in each subsequent version of SQL Server have continued to improve upon this solid new foundation. Fortunately, Microsoft has changed the release cycle for multiple products, including SQL Server, resulting in shorter time frames between releases. This has, in part, been due to Microsoft's focus on their much reported Mobile first, Cloud first strategy. This strategy, together with the development of the cloud version of SQL Server Azure SQL Database, has forced Microsoft into a drastically shorter release cycle. The advantage of this strategy is that we are no longer required to wait 3 to 5 years for a new release (and new features). There have been releases every 2 years since SQL Server 2012 was introduced, with multiple releases of Azure SQL Database in between the real versions.

While we can be pleased that we no longer need to wait for new releases, we are also at a distinct disadvantage. The rapid release of new versions and features leaves us developers with ever-decreasing periods of time to get to grips with the shiny new features. Prior versions had multiple years between releases, allowing us to build up a deeper knowledge and understanding of the available features, before having to consume new information.

Following on from the release of SQL Server 2016 was the release of SQL Server 2017, barely a year after 2016 was released. Many features were merely more polished/updated versions of the 2016 release, while there were some notable additions in the 2017 release.

In this chapter (and book), we will introduce what is new inside SQL Server 2017. Due to the short release cycle, we will outline features that are brand new in this release of the product and look at features that have been extended or improved upon since SQL Server 2016.

We will be outlining the new features in the following areas:

  • Security
  • Engine features
  • Programming
  • Business intelligence