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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

This chapter explored new Transact-SQL elements, extensions, and hints. Some of them are small enhancements that make a developer's life easier and increase their productivity. There are also significant operational extensions that increase the availability and deployment of solutions. In addition to this, two newly added query hints address some rare but serious performance problems caused by incorrect query optimizer estimations and assumptions, where it is hard to find a workaround in previous SQL Server versions. Finally, with adaptive query processing, SQL Server additionally optimizes the creation of an execution plan by partially executing part of the code and introducing a new Adaptive Join operator. It also brings opportunities for correction of an execution plan after its creation, depending on runtime parameters and memory usage.

In this chapter, you saw...

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SQL Server 2017 Developer???s Guide
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