Earlier this week, Andrie showed you how to set up and provision your own virtual machine (VM) to run R and RStudio in Azure. Another option is to use the new Microsoft Data Science Virtual Machine, a pre-configured instance that includes a suite of tools useful to data scientists, including:
- Revolution R Open (performance-enhanced R)
- Anaconda Python
- Visual Studio Community Edition
- Power BI Desktop (with R capabilities)
- SQL Server Express (with R integration)
- Azure SDK (including the ability to run R experiments)
There's no software charge associated with using this VM, you'll pay only the standard Azure infrastructure fees (starting at about 2 cents an hour for basic instances; more for more powerful instances). If you're new to Azure, you can get started with an Azure Free Trial.
By the way, if you're not familiar with these tools in the Data Science VM, Jan Mulkens provides a backgrounder on Data science with Microsoft, including an overview of the Microsoft components. (And if you're new to data science, check out the recording of Brandon Rohrer's recent webinar, Data Science for the Rest of Us.) For the details, check out the link below.
Microsoft Azure Blog: Provision the Microsoft Data Science Virtual Machine