mountainss Cloud and Datacenter Management Blog

Microsoft SystemCenter blogsite about virtualization on-premises and Cloud


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#Microsoft Azure #DataScience VM (DSVM) on Windows Server 2016 in the #Cloud #Azure #DSVM

The Microsoft Data Science Virtual Machine (DSVM) is a powerful data science development environment that enables you to perform various data exploration and modeling tasks. The environment comes already built and bundled with several popular data analytics tools that make it easy to get started quickly with your analysis for On-premises, Cloud or hybrid deployments. The DSVM works closely with many Azure services and is able to read and process data that is already stored on Azure, in Azure SQL Data Warehouse, Azure Data Lake, Azure Storage, or in Azure Cosmos DB. It can also leverage other analytics tools such as Azure Machine Learning and Azure Data Factory.

You can Choose which OS you Like.

The ‘Data Science Virtual Machine (DSVM)’ is a ‘Windows Server 2016 with Containers’ VM & includes popular tools for data exploration, analysis, modeling & development.

Highlights:

Tools for ML model operationalization as web services in the cloud, using Azure ML or Microsoft R Server.

Creating the Azure DSVM with Windows Server 2016

I use this Azure DSVM for testing and I will enable Auto-Shutdown Scheduler
(to save money)

The following software is by default installed in the Azure DSVM :

My Azure Data Science Virtual Machine in the Cloud 😉

From here you can configure your Data Management Gateway.

Microsoft Data Management Gateway connects on-premises data sources to cloud services for consumption. With Microsoft cloud services, such as Power BI for Office 365 and Azure Data Factory you get benefits including fast deployment, low maintenance cost, and flexible billing model while keeping your enterprise data on-premises. With Data Management Gateway, you can connect on-premises data to cloud services in a secure and managed way, to respond more quickly to changing business needs with a flexible, hybrid cloud platform. You can benefit from Microsoft cloud services while you keep your business running with the on-premises data.

More information about the Data Management Gateway :

Microsoft Data Management Gateway Overview

Running Azure Data Science VM

Portal Overview of the Azure DSVM

From the Microsoft Azure Portal you can add Resource Extensions to your Azure Data Science VM.

From here you can add the following Extensions :

Here you can find more Technical information about Microsoft Azure Data Science Virtual Machine :

Introduction to the cloud-based Data Science Virtual Machine for Linux and Windows

Azure Data Science Virtual Machine on GitHub

Microsoft Azure Data Science Virtual Machine forum

Follow the #DSVM on Twitter

Microsoft Professional Program Certificate in Data Science


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Microsoft Azure Machine Learning Cloud Platform with Free Ebook #Azure #MachineLearning

Azure Machine Learn

Blog Logo Azure MachineThe Microsoft Azure Machine Learning cloud platform provides simplified yet powerful data management, transformation and machine learning tools. R language scripts integrate with built in Azure ML modules to extend the platform. Additionally, models running in Azure ML can be published as web services.

You will be provided information on how to perform data science tasks including, data management, data transformation, and machine learning in the Azure ML cloud environment. You will learn:

  • Data management with Azure ML.
  • Data transformation with Azure ML and R.
  • Data I/O between Azure ML and the R Scripts.
  • R graphics with Azure ML.
  • Building and evaluating machine learning models with Azure ML and R.
  • Publishing Azure ML models as a web service.


Free tier Azure ML accounts are now available with a Microsoft ID at

https://studio.azureml.net/Home/Free.

Azure Machine Learning Ebook

Here you can sign up for a Free Ebook :

 Azure-Machine-Learning-351x185
Microsoft Azure Machine Learning BlogSite

Microsoft Azure Machine Learning on TechNet Wiki