Book Image

SQL Server 2016 Developer's Guide

By : Miloš Radivojević, Dejan Sarka, William Durkin
Book Image

SQL Server 2016 Developer's Guide

By: Miloš Radivojević, Dejan Sarka, William Durkin

Overview of this book

Microsoft SQL Server 2016 is considered the biggest leap in the data platform history of the Microsoft, in the ongoing era of Big Data and data science. This book introduces you to the new features of SQL Server 2016 that will open a completely new set of possibilities for you as a developer. It prepares you for the more advanced topics by starting with a quick introduction to SQL Server 2016's new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to small delights in the Transact-SQL language and then switches to a completely new technology inside SQL Server - JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables. The last chapters concentrate on implementing advanced topics, including Query Store, column store indexes, and In-Memory OLTP. You will finally be introduced to R and learn how to use the R language with Transact-SQL for data exploration and analysis. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle.
Table of Contents (21 chapters)
SQL Server 2016 Developer's Guide
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
12
In-Memory OLTP Improvements in SQL Server 2016

Summary


Stretch DB allows the moving of historical or less frequently needed data dynamically and transparently to Microsoft Azure. Data is always available and online, and you don't need to change queries in your solutions; SQL Server takes care of the location of data and combines retrieving data from the local server and remote Azure location. Therefore, you can completely delegate your cold data to Azure and reduce storage, maintenance, and implementation costs of an on-premise solution for cold data storage and availability. However, there are many limitations of using Stretch DB and most OLTP tables cannot be stretched to the cloud—at least not without schema and constraint changes. Stretch Database brings maximum benefits to tables with historical data that is rarely used. You can calculate the price for data storage and querying against the Azure database and decide whether you would benefit from using the Stretch DB feature.