SQL Server 2016: Parallel Processing for R Server with MPI Part 2

Part 2: Parallel Processing with Microsoft R Server and MPI In Part 1 we saw how to configure a server with Microsoft R Server to make use of the Rmpi library to achieve parallel processing. In Part 2, we will look at how to launch R Server processes on multiple machines creating a flexible R […]
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SQL Server 2016: Parallel Processing for Microsoft R Server Part I

Part I: Setting Up the System In several previous blogs, we have talked about installing Microsoft R Server as a part of a SQL Server 2016 installation, and we have called attention to the fact that the SQL Server 2016 installation disk provides for a standalone installation of R Server. What we have not discussed […]
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Creating dynamic reports using R Markdown

R Markdown is a formatting syntax that makes it easy to create dynamic reports. It’s based on the popular Markdown lightweight markup language for web writing. Markdown Markdown is a response to the growing importance of writing for on-line publication. Tools based around the concept of a printed page (e.g. Word, Google Docs) make little […]
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Building Data-driven Web Applications Using R and Shiny

Shiny is a web application framework for the R statistical computing language. It allows interactive applications to be written entirely in R. While it’s possible to write a general purpose web application using R and Shiny, it’s not the sweet spot of the framework. There are better general purpose web application frameworks—such as ASP.NET MVC. […]
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Better Performance for R Functions with Vectorization

One of the best things about R is that so many talented people have contributed a multitude of  valuable packages. In fact there are so many, that for most tasks you don’t have to do any programming at all. However, there are always going to be problems that require custom treatment and that will demand […]
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