Microsoft Azure - Remote Desktop Connection To Data Science Windows 2016 Virtual Machine

The key advantage of setting up Microsoft Azure Data Science Windows 2016 Virtual Machine instead of a regular virtual machine is that it comes pre-installed with major data science tools and saves a lot of time for making data science machines functional to start doing the actual data science work. Microsoft Azure Data Science Windows 2016 Virtual Machine also comes pre-installed with compute GPU based on NVidia drivers as unified support for deep learning data science problems, their evaluation, and their solution.

Here is the list of some of the data science-related tools that come pre-installed with Microsoft Azure Data Science Windows 2016 Virtual Machine.

1. Microsoft R Server - Developer Edition (Scalable R).
2. Anaconda Python.
3. SQL Server 2017 - Developer Edition with in-database R & Python analytics.
4. Microsoft Office 365 ProPlus - Shared Computer Activation.
5. Julia Pro + Juno Editor.
6. Jupyter Notebooks.
7. Visual Studio Community Edition with Python, R & Node.js tools.
8. Power BI Desktop.
9. Weka.
10. Git.
11. R Studio.
12. NVidia drivers, CUDA toolkit & NVidia CUDNN library for GPU pre-configure & tested.
13. Deep learning tools, like Microsoft Cognitive Toolkit (CNTK 2.1), TensorFlow, & MXnet.
14. Machine Learning algorithm libraries, such as - Xgboost, Vowpal Wabbit.
15. Azure SDK & libraries for various cloud offerings. Integration tools are included for,
    
    
1. Azure Machine Learning.
2. Azure Data Factory.
3. Stream Analytics.
4. SQL Data Warehouse.
5. Hadoop + Apache Spark (HDInsight Cluster).
6. Data Lake.
7. Blob Storage.
8. Machine Learning & Data Science Tutorials as Jupyter Notebooks.

In today's article, I shall demonstrate how to make remote desktop connections to Microsoft Azure Data Science Windows 2016 Virtual Machine into our Microsoft Azure paid subscription account.

Prerequisites

Following are some prerequisites before you proceed any further in this tutorial.

1. Microsoft Azure Account with a paid subscription.
2. You have already created your target Data Science Windows 2016 Virtual Machine on Azure Portal.

Let's begin the fun.

Step 1

Create your target Azure Data Science Windows 2016 Virtual Machine on your Microsoft Azure paid subscription account.

Step 2

Login to Microsoft Azure portal and you will be able to see your dashboard.

Step 3

Click on your "Azure Data Science Windows 2016 Virtual Machine" from your dashboard, as shown below.

Step 4

Now, click "Connect" on your VM's Overview page.

From the above screen, you have the connection information to access your Data Science Windows 2016 Virtual Machine. Copy your machine's public IP address.

Step 5

Go to your machine's Start menu and click "Run" command or use the shortcut key "Windows button + R" to make the "Run" window appear, as shown below.

Step 6

Now, type "mstsc" on the Run window.

Step 7

In "Remote Desktop Connection" window, type your data science virtual machine's IP Address and click "Connect", as shown below.

Step 8

In the next window, type your administration credentials which you have set up during the installation of your data science VM and click "OK".

Step 9

When your connection is successful, the following window will appear. Click "Yes", as shown below.

Step 10

Congratulations! You are connected to your "Azure Data Science Windows 2016 Virtual Machine.

Step 11

Now, explore your data science virtual machine. Check your system specifications, like details of your RAM and processors, your hard disk information, and your pre-installed data science tools.

Conclusion

In this article, we saw how to make a remote desktop connection to the Data Science Windows 2016 Virtual Machine. Also, we learned to use Run command to set up the remote desktop connection and learn about our virtual machine by exploring it.