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Microsoft Azure: Setting Up Data Science Windows 2016 Virtual Machine

One of the key issue with data science domain is finding a complete resourceful & cost effective solution to meet the data science needs. Since, processing of a data science problem requires a powerful machine, therefore, it is not very cheap to afford an individual machine to carry out the desire task and then on top of it cost of licensing for data science products are not very cheap either, if your problem demands more power then added cost of installation & setup of require tools and technology on the require machine is a headache on top of the list then you also need to think about scalability of your problem. Microsoft Azure is no doubt a complete solution as it offers many powerful solutions to meet a data science domain needs. Microsoft Azure Data Science Windows 2016 virtual machine is one such example.

One might wonder that why azure data science windows 2016 virtual machine is different than any other regular azure virtual machine. The key difference between azure data science windows 2016 virtual machine and regular azure virtual machine is that data science windows 2016 virtual machine is pre-installed with a lot of data science related tools along with GPU setup of NVidia for deep learning solution development purpose.

In today's article I shall demonstrate setup of Microsoft Azure data science windows 2016 virtual machine into our Microsoft Azure paid subscription account. 


Following are some prerequisites before you proceed any further in this tutorial:
  1. Microsoft Azure Account with Paid Subscription.
  2. You have already created your target Resource Groups on Azure Portal.
Let's begin the fun.

1) Create Microsoft Azure paid subscription account.

2) Login to Microsoft azure portal and you will be able to see your dashboard.

3) Click "Create Resource" from the right menu as shown below i.e.

4) Then click "AI + Machine Learning" category from the Azure Marketplace as shown below i.e.

5) Click "Data Science Virtual Machine Windows 2016" as shown below i.e.

6) Now, fill the form with your details i.e. your azure subscription, target resource group, name of the virtual machine, your physical storage server location base on Azure Latency Test as this will affect your cloud service performance. Smaller the latency time better the performance, so, choose accordingly and your virtual machine administrative credentials as shown below i.e.

In the above step you also need to choose your target virtual machine, the default selection is data science virtual machine windows 2016 and you can also change your RAM size & processors according to your needs, this amount is chargeable, so choose what fits your costing requirement as shown below i.e.

7) Click on "Review + Create" button as shown below i.e.

8) On the "Review + Create" tab, you will notice a special cost that is not covered by your azure subscription, don't worry, it is free, the reason it is mention here is basically to remind you that new tool that you installed on this virtual machine which has any sort of purchase cost whether licensing or other cost, your azure subscription is not responsible to cover that, you have to additionally pay that cost at your own, so, Microsoft azure subscription does not charge any such cost during installation, since data science virtual machine windows 2016 is pre-installed with shareware license, so, additional cost on them is your own responsibility. Now, click "Create" as shown below i.e.

9) Wait a few moments while your data science virtual machine windows 2016 is being deployed, pin your studio to the dashboard if you want as show below i.e.

10) Now, click your data science windows 2016 virtual machine that you have just created and have pinned to the dashboard.

In the above screen, you have connection information to access your data science windows 2016 virtual machine.


In this article, you will learn to setup data science windows 2016 virtual machine. You will learn to deploy your data science windows 2016 virtual machine by selecting suitable RAM size & processors combination cost plan and by selecting suitable physical storage sever location base on Azure Latency Test.