Visual Studio 2017 is a powerful IDE for data scientists/developers to manage their code, unit testing, and version control. Combined with Visual Studio Team Services, they form a complete toolkit to execute Database Lifecycle Management, which can also be easily adapted to DevOps practices. This chapter describes in detail how you can integrate SQL Server Machine Learning Services with R in SQL Server Database projects, DevOps practices, and CI/CD workflows. Finally, you have also learned how to monitor a Prediction Model accuracy over time.
In the next chapter, we'll discuss how DBAs can also take advantage of Machine Learning Services with R.
