Download com.azure JAR files with all dependencies

Provide implementation of MySQL authenticationPlugin that enables authentication using Azure AD.

This package contains the business logic of authenticating with Azure AD and returning a token as a password.

This package contains the Microsoft Azure Cognitive Services Personalizer SDK.

This package contains the MicrosoftAzure SDK for Search SDK. For documentation on how to use this package, please see https://docs.microsoft.com/en-us/rest/api/maps/search. Package tag 1.0-preview.

This package contains Microsoft Azure SDK for Route Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. Azure Maps Route REST APIs. Package tag 1.0-preview.

This package contains Microsoft Azure Purview Catalog client library.

Sample to test integration with sonatype nexus. If we keep the character of the description large as well, it should not be a problem, as description can be 500 characters, Putting this info here so I could reach more than 200 characters here and see if this breaks the code or not. I think I have reached 200 charaters now.

This package contains Microsoft Azure SDK for ApplicationInsights Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. Composite Swagger for Application Insights Management Client. Package tag package-2022-04-01.

This package contains Microsoft Azure SDK for AppConfiguration Management SDK. For documentation on how to use this package, please see https://aka.ms/azsdk/java/mgmt. Package tag package-2022-05-01.

Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and the cloud. The platform offers the capability to capture, record, and analyze live videos along with publishing the results, video, and video analytics, to Azure services in the cloud or the edge. It is designed to be an extensible platform, enabling you to connect different video analysis edge modules such as Cognitive services containers, custom edge modules built by you with open-source machine learning models or custom models trained with your own data. You can then use them to analyze live video without worrying about the complexity of building and running a live video pipeline. Use the client library for Video Analyzer Edge to simplify interactions with the Microsoft Azure IoT SDKs (https://github.com/azure/azure-iot-sdks) and programmatically construct pipeline topologies and live pipelines.