Blog Archives

Introduction to AzureKusto

May 14, 2019
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By Hong Ooi and Alex Kyllo This post is to announce the availability of AzureKusto, the R interface to Azure Data Explorer (internally codenamed “Kusto”), a fast, fully managed data analytics service from Microsoft. It is available from CRAN, or you can install the development version from GitHub via devtools::install_github("cloudyr/AzureKusto"). AzureKusto provides an interface (including DBI compliant methods for...

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Introduction to AzureKusto

May 14, 2019
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By Hong Ooi and Alex Kyllo This post is to announce the availability of AzureKusto, the R interface to Azure Data Explorer (internally codenamed “Kusto”), a fast, fully managed data analytics service from Microsoft. It is available from CRAN, or you can install the development version from GitHub via devtools::install_github("cloudyr/AzureKusto"). AzureKusto provides an interface (including DBI compliant methods for...

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Developments in AzureR

February 21, 2019
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by Hong Ooi, senior data scientist, Microsoft Azure The AzureR packages have now been on CRAN for a couple of months, so I thought I'd provide an update on developments in the works. First, AAD authentication has been moved into a new package, AzureAuth, so that people who just want OAuth tokens can get it without any other baggage....

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AzureStor: an R package for working with Azure storage

December 18, 2018
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by Hong Ooi, senior data scientist, Microsoft Azure A few weeks ago, I introduced the AzureR family of packages for working with Azure in R. Since then, I’ve also written articles on how to use AzureRMR to interact with Azure Resource Manager, how to use AzureVM to manage virtual machines, and how to use AzureContainers to deploy R functions...

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How to deploy a predictive service to Kubernetes with R and the AzureContainers package

December 12, 2018
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It's easy to create a function in R, but what if you want to call that function from a different application, with the scale to support a large number of simultaneous requests? This article shows how you can deploy an R fitted model as a Plumber web service in Kubernetes, using Azure Container Registry (ACR) and Azure Kubernetes Service...

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AzureVM: managing virtual machines in Azure

December 3, 2018
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This is the next article in my series on AzureR, a family of packages for working with Azure in R. I’ll give a short introduction on how to use AzureVM to manage Azure virtual machines, and in particular Data Science Virtual Machines (DSVMs). Creating a VM Creating a VM is as simple as using the create_vm method, which is...

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AzureRMR: an R interface to Azure Resource Manager

November 26, 2018
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AzureRMR: an R interface to Azure Resource Manager

In a previous article I announced AzureR, a new family of packages for working with Azure from R. This article goes into more detail on how you can use AzureRMR, the base package of the AzureR family, to manage resources with Azure Resource Manager. Before you begin The first thing you have to do is create a service principal....

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AzureR: R packages to control Azure services

November 8, 2018
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by Hong Ooi, senior data scientist, Microsoft Azure This post is to announce a new family of packages we have developed as part of the CloudyR project for talking to Azure from R: AzureR. As background, some of you may remember the AzureSMR package, which was written a few years back as an R interface to Azure. AzureSMR was...

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Announcing dplyrXdf 1.0

October 9, 2017
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I’m delighted to announce the release of version 1.0.0 of the dplyrXdf package. dplyrXdf began as a simple (relatively speaking) backend to dplyr for Microsoft Machine Learning Server/Microsoft R Server’s Xdf file format, but has now become a broader suite of tools to ease working with Xdf files. This update to dplyrXdf brings the following new features: Support for...

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dplyrXdf 0.10.0 beta prerelease

August 10, 2017
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I’m happy to announce that version 0.10.0 beta of the dplyrXdf package is now available. You can get it from Github: install_github("RevolutionAnalytics/dplyrXdf", build_vignettes=FALSE) This is a major update to dplyrXdf that adds the following features: Support for the tidyeval framework that powers the latest version of dplyr Works with Spark and Hadoop clusters and files in HDFS Several utility...

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