Importing data with Microsoft R Server

In this blog, we would play around a new package RevoScaleR which takes a different approach in handling the data. Though, it works directly with flat files, but, is primarily made for a special kind of file format: XDF which enhances processing of the datasets. RevoScaleR package stores the dataset on disk (hard drive) and…

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REST Calls using PostMan for R server Operationalization

The Microsoft R Server operationalization REST APIs are exposed by R Server’s operationalization server, a standards-based server technology capable of scaling to meet the needs of enterprise-grade deployments. With the operationalization feature configured, the full statistics, analytics and visualization capabilities of R can now be directly leveraged inside Web, desktop and mobile applications. Core Operationalization…


REST Calls using PostMan for R server O16N

The Microsoft R Server operationalization REST APIs are exposed by R Server’s operationalization server, a standards-based server technology capable of scaling to meet the needs of enterprise-grade deployments. With the operationalization feature configured, the full statistics, analytics and visualization capabilities of R can now be directly leveraged inside Web, desktop and mobile applications. Core Operationalization…


Reference implementation of credit risk prediction using R

This post is authored by Surendra Tipparaju and Durga Prasad Chappidi at Microsoft Credit risk prediction is one of most common models and yet most revisited. The risk assessment is determined based on dataset and number of features that can be included in the model. We have implemented the initial model few months back in…


Microsoft R Server VMs available in Azure China

 This post is authored by Bharath Sankaranarayan, Principal Program Manager, at Microsoft. We have expanded our footprint of Microsoft R Server Virtual Machines and is available in Azure China, both China North and China East. This will provide our customers the ability to leverage Microsoft R Server 9.0 for building advanced analytics solutions in the…


Exporting large data using Microsoft R (IDE: RTVS)

Introduction Very often in our projects we encounter a need to export huge amount of data (in GBs) and the conventional solution, write.csv, can test anyone’s patience with the time it demands. In this blog, we will learn by doing. We make use of a package that is not very popular, but serves the purpose…


Predicting Hospital Length of Stay (LOS) using SQL Server 2016 with R Services

This post is authored by Bharath Sankaranarayan, Principal Program Manager, at Microsoft. Today we are excited to announce a Hospital length of Stay solution, leveraging SQL Server 2016 with R Services.  This solution accelerator will enable hospitals and healthcare providers to leverage machine learning to improve the prediction on how long a patient is expected to stay….


Best practices for executing embarrassingly parallel workloads with R Server on Spark

Introduction An embarrassingly parallel workload or problem is one where little or no effort is needed to separate the problem into a number of parallel tasks. This is often the case where there is little or no dependency or need for communication between those parallel tasks, or for results between them.   In this blog,…


Microsoft R Server 9.0 VMs now support Ubuntu and Korea regions

I am pleased to announce that the Microsoft R Server 9.0 are now available on all Azure regions and in this release we have refreshed the R Server Only SQL Server 2016 Enterprise Edition, R Server on Linux (CentOS) and added R Server on Linux (Ubuntu).  With this release we have brought a lot of…


Microsoft R Server 9.0.1 is Packed with Exciting New Capabilities

Microsoft R Server has just released a feature-packed version 9.0.1. Customers can download from MSDN from this link. Enterprise customers with EA agreement will be able to download from Microsoft Volume Licensing Software Center in January 2017. There are major enhancements and brand new face lifts in some of the capabilities in Microsoft R Server that worth mentioning: -…