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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

Summary


In this chapter, we have taken a look at the In-Memory OLTP engine, which was introduced in SQL Server 2014. Along the way, we have investigated how the In-Memory OLTP differs from the traditional SQL Server storage engine with respect to the concurrency model. The main difference is the ability to allow multiple concurrent users to access the data structure without relying on the pessimistic concurrency model of using locking and latching to uphold data isolation within transactions.

We continued our journey by exploring what T-SQL constructs and data types the In-Memory OLTP engine can support in the first version of the feature inside SQL Server 2014. At the same time, we were able to find out that although there are limitations, there is still a wide range of available data types and programming approaches that can be used immediately. Especially exciting is the fact that the T-SQL language receives (almost) transparent support for the powerful new capabilities. Memory-optimized...

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