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(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/03/dsvm-linux-updates.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>The Data Science Virtual Machine (DSVM) is a virtual machine image on the Azure Marketplace assembled for data scientists. The goal of the DSVM is provide a broad array of popular data-oriented tools in a single environment, and make data scientists and developers highly productive in their work. It's available for both <a target="_blank" rel="nofollow" href="https://azuremarketplace.microsoft.com/en-us/marketplace/apps/microsoft-ads.standard-data-science-vm">Windows</a> and <a target="_blank" rel="nofollow" href="https://azuremarketplace.microsoft.com/en-us/marketplace/apps/microsoft-ads.linux-data-science-vm">Linux</a>, and the Linux edition has just received a <a target="_blank" rel="nofollow" href="https://blogs.technet.microsoft.com/machinelearning/2017/03/09/deploy-machine-learning-apps-to-big-data-platforms-with-linux-data-science-virtual-machine/">major update</a>. (The Windows edition was also <a target="_blank" rel="nofollow" href="http://blog.revolutionanalytics.com/2017/01/dsvm-updated-now-includes-rstudio.html">updated recently</a>.) </p>
<p><a target="_blank" rel="nofollow" href="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01bb098218af970d-pi"><img title="Dsvm-linux" alt="Dsvm-linux" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01bb098218af970d-800wi" border="0"></a></p>
<p>This latest update adds local standalone instances of Hadoop, YARN and Spark: ideal for prototyping code in your DSVM instance before deploying to a large cluster for production-level applications. This update also upgrades <a target="_blank" rel="nofollow" href="http://blog.revolutionanalytics.com/2016/12/microsoft-r-server-90-now-available.html">Microsoft R Server to version 9</a>, adding the <a target="_blank" rel="nofollow" href="https://msdn.microsoft.com/en-us/microsoft-r/microsoftml-introduction">MicrosoftML</a> package for machine learning, and the <a target="_blank" rel="nofollow" href="https://msdn.microsoft.com/en-us/microsoft-r/mrsdeploy/mrsdeploy">mrsdeploy package</a> to operationalize R code on a production server.</p>
<p>You can find instructions for <a target="_blank" rel="nofollow" href="https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-linux-dsvm-intro">provisioning the Linux DSVM on Azure</a> here, which also includes a detailed list of its components and how to launch them. For more on the latest updates to the DSVM, follow the link below.</p>
<p>Cortana Intelligence and Machine Learning Blog: <a target="_blank" rel="nofollow" href="https://blogs.technet.microsoft.com/machinelearning/2017/03/09/deploy-machine-learning-apps-to-big-data-platforms-with-linux-data-science-virtual-machine/">Build &amp; Deploy Machine Learning Apps on Big Data Platforms with Microsoft Linux Data Science Virtual Machine</a></p>
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