Book Image

SQL Server 2017 Machine Learning Services with R.

By : Julie Koesmarno, Tomaž Kaštrun
Book Image

SQL Server 2017 Machine Learning Services with R.

By: Julie Koesmarno, Tomaž Kaštrun

Overview of this book

R Services was one of the most anticipated features in SQL Server 2016, improved significantly and rebranded as SQL Server 2017 Machine Learning Services. Prior to SQL Server 2016, many developers and data scientists were already using R to connect to SQL Server in siloed environments that left a lot to be desired, in order to do additional data analysis, superseding SSAS Data Mining or additional CLR programming functions. With R integrated within SQL Server 2017, these developers and data scientists can now benefit from its integrated, effective, efficient, and more streamlined analytics environment. This book gives you foundational knowledge and insights to help you understand SQL Server 2017 Machine Learning Services with R. First and foremost, the book provides practical examples on how to implement, use, and understand SQL Server and R integration in corporate environments, and also provides explanations and underlying motivations. It covers installing Machine Learning Services;maintaining, deploying, and managing code;and monitoring your services. Delving more deeply into predictive modeling and the RevoScaleR package, this book also provides insights into operationalizing code and exploring and visualizing data. To complete the journey, this book covers the new features in SQL Server 2017 and how they are compatible with R, amplifying their combined power.
Table of Contents (12 chapters)

Prerequisites for this chapter

Tools

URL

Notes

Visual Studio 2017

To download: https://www.visualstudio.com/downloads/

The Community Edition is free.

VSTS

Sign up/sign in: https://www.visualstudio.com/team-services/

Sign up for the personal account for free.

Power Shell v2.0 or above

Download PowerShell: https://www.microsoft.com/en-us/download/details.aspx?id=42554

You will need this for setting up the Private Agent locally.

Creating the SQL Server database project

In this section, we will walk you through how to create a database project in VS2017.

  1. In VS2017, click on File | New Project.
  2. Choose SQL Server from Installed on the left pane and click on the SQL Server Database Project template...