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Description

Microsoft Hands-On Labs offers a straightforward and efficient method for assessing and experimenting with the latest Microsoft products and technologies in virtual settings that eliminate the need for intricate setup or installation procedures. You can access these online virtual labs instantly and at no cost. With the introduction of the Azure DevOps Server 2019 VM and its associated labs on Microsoft Hands-On Labs, users can explore them directly from a web browser or Windows client without the hassle of downloading the full virtual machine. It's important to note that the Hands-on Lab infrastructure is not tailored for classroom training environments, as there are limitations on concurrent usage of the labs. For those interested in implementing them in a classroom setting, it is advisable to reach out to the Learning On-Demand team for guidance. DevOps integrates individuals, processes, and technology to automate software delivery, ensuring a continuous stream of value for end-users. By automating and accelerating the software delivery process, DevOps enhances both the reliability of your workflows and the quality of your products. This ultimately leads to greater efficiency and improved collaboration among team members.

Description

Microsoft is actively advancing its R-related offerings, evident not only in the latest release of Machine Learning Server but also in the newest versions of Microsoft R Client and Microsoft R Open. Furthermore, R and Python integration is available within SQL Server Machine Learning Services for both Windows and Linux platforms, alongside R support in Azure SQL Database. The R components maintain backward compatibility, allowing users to execute existing R scripts on newer versions, as long as they do not rely on outdated packages or platforms that are no longer supported, or on known problems that necessitate workarounds or code modifications. Microsoft R Open serves as the enhanced version of R provided by Microsoft Corporation, with the most recent release, Microsoft R Open 4.0.2, built on the statistical language R-4.0.2, offering additional features for better performance, reproducibility, and platform compatibility. This version ensures compatibility with all packages, scripts, and applications built on R-4.0.2, making it a reliable choice for developers and data scientists alike. Overall, Microsoft's dedication to R fosters an environment of continuous improvement and support for its users.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure DevOps Server Yes 
Azure HDInsight No 
DataClarity Unlimited Analytics No 
Delinea Cloud Access Controller No 
Juniper Identity Management Service No 
KeyTalk No 
Microsoft Power Platform No 
ODK No 
ScanMail No 

Integrations

Azure DevOps Server No 
Azure HDInsight Yes 
DataClarity Unlimited Analytics Yes 
Delinea Cloud Access Controller Yes 
Juniper Identity Management Service Yes 
KeyTalk Yes 
Microsoft Power Platform Yes 
ODK Yes 
ScanMail Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

www.azuredevopslabs.com/labs/devopsserver/handsonlabs/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

mran.microsoft.com/rro

Product Features

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

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