Simplifying The Use of Azure Data Science Virtual Machine with R

This post is authored by Le Zhang, Data Scientist, and Graham Williams, Director of Data Science at Microsoft. Azure Data Science Virtual Machine (DSVM) and AzureDSVM package Azure Data Science Virtual Machine (DSVM) is a curated Azure VM image preinstalled and configured with popular tools that are commonly used for data analytics and machine learning,…

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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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Encrypting Communication between Web Node and Compute Node in Linux

This article walks you through the steps for encrypting the traffic between web nodes and compute nodes in Linux using self-signed certificates. If a compute node is inside the web node’s trust boundary, then encryption of this piece isn’t needed. However, if the compute node resides outside of the trust boundary, consider using the compute…


Using Microsoft R Server Operationalization on HDInsight

R Server on HDInsight cluster allows R scripts to use Spark and MapReduce to run distributed computations. You can develop a model and operationalize the model to make predictions by configuring Edge Node as One-Box. We have One-Click Deploy ARM Templates using which you can create R Server on HDInsight Cluster with EdgeNode configured as…


Machine Learning Services in SQL Server 2017

This post is authored by Sumit Kumar, Senior Program Manager at Microsoft. Hopefully, you are already aware of the first release candidate (RC1) of SQL Server 2017 which became available earlier in July. This release includes several powerful enhancements in the Machine Learning Services – the core intelligence engine in SQL Server. This release further…


Using R to generate API Client from Swagger

Microsoft R Server’s operationalization feature enables data scientists to deploy and consume web services to operationalize their R analytics. The publishService() function in mrsdeploy package can be used to publish an R code block as a new web service. After it has been deployed, the web service can be: Consumed directly in R by another…


Managing Loan Credit Risk using Microsoft R Server

This post is authored by Bharath Sankaranarayan, Principal Program Manager at Microsoft. I am pleased to announce the Loan Credit Risk Solution how-to on SQL and HDI. Loan Credit Risk is a very common problem that lending institutions are challenged in assessing which loans are likely at risk. Loan Credit Risk solution how-to, demonstrates how…


Managing Loan Credit Risk using Microsoft R Server

This post is authored by Bharath Sankaranarayan, Principal Program Manager at Microsoft. I am pleased to announce the Loan Credit Risk Solution how-to on SQL and HDI. Loan Credit Risk is a very common problem that lending institutions are challenged in assessing which loans are likely at risk. Loan Credit Risk solution how-to, demonstrates how…


Understanding Server Traffic logs and detecting Denial of Service Attacks

With increased cyber-attacks, there is always a threat to the Internet Security. Distributed Denial of Service or DDoS attacks is the most common way – where a perpetrator renders network of hosts temporarily or indefinitely unavailable disrupting and taking down the servers and the services provided to their customers. This downtime costs affected companies millions…


Set up an auto-scale environment to operationalize your R analytics, with just ONE CLICK

Microsoft R Server offers a powerful feature set to help enterprise to deploy their R analytics as web services. Those web services are the productization of the R analytics and can then be integrated with line of business apps. For enterprise, it is crucial to host those web services in a production environment that is…

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