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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

Temporal Tables

Databases that serve business applications often need to support temporal data. For example, suppose a contract with a supplier is valid for a limited time only. It could be valid from a specific point in time onward, or it could be valid for a specific time interval—from a starting time point to an ending time point. In addition, often you'll need to audit all changes in one or more tables. You might also need to be able to show the state at a specific point in time, or all changes made to a table in a specific period of time. From a data integrity perspective, you might need to implement many additional temporal-specific constraints.

This chapter introduces temporal problems, deals with manual solutions, and shows you out-of-the-box features in SQL Server 2016 and 2017, including the following:

  • Defining temporal data
  • Using temporal data in SQL Server...
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