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)

Setting up continuous delivery

Continuous delivery aims to ensure that we can deploy good builds to the desired environment. This could mean the UAT environment or the Production environment. In this section, we will use VSTS to implement continuous delivery:

  1. In VSTS, go to the SQL Server R Services Book project.
  2. Navigate to Build and Release | Release from the top menu.
  3. Click on + | New Definition.
  4. Review the Select Template pane. From here, you can choose from many options, including Run Automated Tests from Test Manager. This option is highly recommended for regularly checking the accuracy of your existing model, which will be discussed in the next step of what the manual process entails. For now, let's choose Empty and click on Add.
  5. On the top title where it says All definitions | New Release Definition, click on the pencil icon to edit the name to UAT Release.
  6. Let&apos...