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 integration

The main idea of continuous integration (CI) is to perform builds that are automated based on one or more triggers. One of the triggers to perform a build is a check-in event. Another one could be a scheduled build. Choosing which trigger is appropriate depends on various factors, such as the complexity of the project and the culture of the team. In this section, because the project is small, we are going to automate the build triggered by check-ins. We will also add tests as part of the build.

VSTS is a good platform to automate builds, deployments for testing, and monitoring. In this section, we will configure a build definition and schedule a continuous integration in VSTS.

Ensure that the Visual Studio solution, including the SQL Server database project and the SQL Server Unit Test project, are built successfully.

Figure 8.16 shows the SQL...