Using RStudio Server with Microsoft R Server Parcel for Cloudera

In previous releases of Microsoft R Server, parcel installation required downloading two pre-built parcel files. The 9.1 release improves upon this experience by providing a parcel generator script generate_mrs_parcel.sh to generate a single MRS-9.1.0-*.parcel file. Here are the complete instructions to install MRS Parcel in Cloudera Cluster. In this article we will look into how to…


Leveraging Microsoft R and in database analytics of SQL Server with R Services through Alteryx Designer

This post is authored by Bharath Sankaranarayan, Principal Program Manager at Microsoft. Being part of the Microsoft R Product team I get to use Microsoft R regularly, but not often with a drag-and-drop editor that simplifies the effort needed to build a solution using machine learning. In this blog, I will take you through a…


Stratified Splitting using rxExecBy

In Microsoft R Server 9.1, we have a new function called rxExecBy() which can be used to partition input data source by keys and apply user defined function on individual partitions. You can read more about rxExecBy() here : Pleasingly Parallel using rxExecBy In this article, we will look at how to use rxExecby to…


Microsoft ML on Spark and Hadoop

MicrosoftML is a new package for Microsoft R Server that adds state-of-the-art algorithms and data transforms to Microsoft R Server functionality. The MicrosoftML package was available in Microsoft R Server for Windows and in SQL Server vNext. Now we bring the power of these algorithms to Spark and Hadoop. Training on a Hadoop/Spark cluster occurs in a…


New Features in 9.1: Microsoft R Server with sparklyr Interoperability

Introduction With the launch of Microsoft R Server 9.1, many optimizations and new features were delivered to our users. One key feature is interoperability between Microsoft R Server and sparklyr. sparklyr, a package by RStudio, is an R interface to Apache Spark. It allows users to utilize Spark as the backend for dplyr, one of…


What’s new in R Server 9.1 Operationalization

In Dec 2016, Microsoft R Server 9.0 introduced a new set of capabilities to help enterprises deploy their R analytics into production environments. In the latest release of R Server 9.1, Microsoft further improves on operationalization capabilities. This article will give a glance on those new exciting capabilities in R Server 9.1. Boost up the…

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Sentiment Analysis with a pre-trained model

Harnessing decades of work on cognitive computing in the context of Bing, Office 365 and Xbox, we are delivering the first installment of pre-trained cognitive models that accelerate time to value in Microsoft R Server 9.1. We now offer a Sentiment Analysis pre-trained cognitive model, using which you can assess the sentiment of an English sentence/paragraph with…

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Microsoft R Server support for Rattle

Rattle – the R Analytical Tool To Learn Easily – is a popular GUI for data mining using R. It presents intuitive graphical interface for data mining and analysis without actually writing the code.  It presents statistical and visual summaries of data, transforms data that can be readily modeled, builds both unsupervised and supervised models…

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Running Pleasingly Parallel workloads using rxExecBy on Spark, SQL, Local and Localpar compute contexts

RevoScaleR function rxExec(), allows you to run arbitrary R functions in a distributed fashion, using available nodes (computers) or available cores (the maximum of which is the sum over all available nodes of the processing cores on each node). The rxExec approach exemplifies the traditional high-performance computing approach: when using rxExec, you largely control how…