The first step is to load the RevoScaleR library. This is an amazing library that allows to create scalable and performant applications with R.
Then a connection string is defined, in my case using Windows Authentication. If you want to use SQL Server authentication the user name and password are needed.
We define a local folder as the compute context.
RxInSQLServer: generates a SQL Server compute context using SQL Server R Services –documentation
Sample query: I already prepared the dataset in the view, this is a best practice in order to reduce the size of the query in the R code and for me is also easier to maintain.
I think there’s a lot of value in learning R, regardless of whether you have “data analyst” in your role or job title.