Prior to SQL Server 2016 (and 2017) BI and data scientists had the OLAP cubes, DMX language, and all super awesome and cool Microsoft algorithms available within SQL Server Analysis Services (SSAS). But, with rapid changes and bigger market demands, the need for integration of an open-source product (whether R, Python, Perl,or any other) was practically already there. And the next logical step was to integrate it with one. Microsoft sought a solution and ended up acquiring Revolution Analytics, which has put them on track again. Revolution R has addressed major issues concerning the R language.
Microsoft addressed R's limitations. Many of these limitations were aimed at faster data exploration and parallel programming techniques in R. In addition to this, also MKL computations have been enhanced, therefore making matrix-wise calculations...
