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

Chapter 13. Supporting R in SQL Server

SQL Server R Services combines the power and flexibility of the open source R language with enterprise-level tools for data storage and management, workflow development, and reporting and visualization. This chapter introduces R Services and the R language. R is developing quite fast, so it is worth mentioning that the R version used in this book is 3.2.2 (2015-08-14).

In the first section, you will learn about the free version of the R language and engine. You will also become familiar with the basic concepts of programming in R.

When developing an advanced analytical solution, you spend the vast majority of time with data. Typically, data is not in a shape useful for statistical and other algorithms. Data preparation is not really glorious but is an essential part of analytical projects. You will learn how to create a new or use an existing dataset and learn about basic data manipulation with R in the second section of this chapter.

The data preparation...