R In SQL Server 2016

Kevin Feasel



Ginger Grant walks through installing R for SQL Server 2016:

The code is executed as an external script, specifying that the language used should be R. @script contains the R code, which is a simple command to take the mean of the data coming from the InputDataSet. @Input_Data_1 contains the location of the data to be processed. In this case the data set is a table containing Amazon review data, where the overall field is the rating field. Of course the R code could of course be more complicated, but I was hoping that this example was generic enough that many people would be able to duplicate it and run their first R code.

This is quite a bit easier to install in RTM(ish) than it was back in CTP 3, so good job Microsoft.

Related Posts

Testing Spatial Equilibrium Concepts With tidycensus

Ignacio Sarmiento Barbieri walks us through the concept of spatial equilibrium and tests using data from the tidycensus package: Let’s take the model to the data and reproduce figures 2.1. and 2.2 of “Cities, Agglomeration, and Spatial Equilibrium”. The focus are two cities, Chicago and Boston. These cities are chosen because both differ in how easy […]

Read More

Partitioning Data For Performance Improvement In R

John Mount shares a few examples of partitioning and parallelizing data operations in R: In this note we will show how to speed up work in R by partitioning data and process-level parallelization. We will show the technique with three different R packages: rqdatatable, data.table, and dplyr. The methods shown will also work with base-R and other packages. For each of the above […]

Read More


May 2016
« Apr Jun »