Today I Started a Community group called Containers in the Cloud on LinkedIn
Join and Help the community with Containers for Applications in the Cloud or on Every Infrastructure.
Share your Container knowledge with the community and Education.
Hope to see you there as a free member to build an Awesome virtual Community and it’s all about Containers 😉
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
Microsoft Professional Program Certificate in Data Science
Microsoft Azure Architecture Center
The Microsoft Azure Architecture Center is the place to be when you want to start with your Cloud only Services or with Hybrid Cloud technologies.
They got all the resources you need to make your own Cloud Architecture :
Start here your Microsoft Cloud Journey with Azure Architecture Center
and make your PDF Copy  😉
#MVPbuzz
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COMMING SOON
ROLLING OUT at #MSBuild
One Click Configure
Azure Cloud Shell Running !
POWERSHELL Coming SOON
Here you find Microsoft Overview of Azure Cloud Shell (Preview)
Microsoft System Center Management Pack (Community Technology Preview) for SQL Server vNext Replication enables the monitoring of Replication as a set of technologies for copying and distributing data and database objects from one database to another and then synchronizing between the databases to maintain consistency.
Here you can download the System Center MP for SQL Server vNext Replication including documentation.
