As with the installation of SSMS, SQL Server Data Tools is also offered as a separate download. This can be found using the SQL Server setup screen shown at the beginning of the chapter. Clicking on Install SQL Server Data Tools will launch a web browser, directing you to the Downloads page for SSDT. This Downloads page offers the latest stable build and also the latest release candidate of the next version of SSDT (with the usual warning of a release candidate not being production ready). SSDT is delivered with the same Visual Studio Integrated Shell as SSMS, and can be installed as a standalone tool. However, SSDT is aimed at developers and the workflows associated with developing database solutions as a team member. This includes the processes of source control and the packaging of project deployments. With this...
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Book Overview & Buying
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Table Of Contents
SQL Server 2017 Developer???s Guide
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 (19 chapters)
Preface
Review of SQL Server Features for Developers
SQL Server Tools
Transact-SQL and Database Engine Enhancements
JSON Support in SQL Server
Stretch Database
Temporal Tables
Tightening Security
Query Store
Columnstore Indexes
Introducing SQL Server In-Memory OLTP
In-Memory OLTP Improvements in SQL Server 2017
Supporting R in SQL Server
Data Exploration and Predictive Modeling with R
Introducing Python
Graph Database
Containers and SQL on Linux
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