The key to making data science successful is making sure you can deploy the machine learning code that data scientists create into applications that rely on the results of the analysis. Microsoft has tackled this problem with Azure ML: machine learning in the cloud. This short video neatly summarizes the process of deploying R code to the cloud in the system:
The MSDN blog also has some technical articles about running R in Azure, including how to upload an R package to Azure ML and how to capture graphical output from R scripts. You can explore Azure ML further at the link below.
Microsoft Azure: Machine Learning
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