Average Ratings 0 Ratings
Average Ratings 0 Ratings
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backward compatibility, allowing users to execute existing R scripts on newer versions, as long as they do not rely on outdated packages or platforms that are no longer supported, or on known problems that necessitate workarounds or code modifications.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
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