| title | description | author | ms.author | ms.service | ms.topic | ms.date |
|---|---|---|---|---|---|---|
Azure Stream Analytics preview features |
This article lists the Azure Stream Analytics features that are currently in preview |
enkrumah |
ebnkruma |
stream-analytics |
conceptual |
03/23/2022 |
This article summarizes all the features currently in preview for Azure Stream Analytics. Using preview features in a production environment isn't recommended.
Azure Stream Analytics supports Managed Identity authentication for Azure SQL Database output sinks. Managed identities eliminate the limitations of user-based authentication methods, like the need to reauthenticate due to password changes.
Developers can leverage the power of Azure Stream Analytics to process data in Protobuf, XML, or any custom format. You can implement custom de-serializers in C#, which can then be used to de-serialize events received by Azure Stream Analytics.
Developers creating Stream Analytics modules in the cloud or on IoT Edge can write or reuse custom C# functions and invoke them directly in the query through user-defined functions.
You can use the job diagram while testing your query locally to examine the intermediate result set and metrics for each step.
Stream Analytics Explorer in Visual Studio Code Extension gives developers a lightweight experience for managing their Stream Analytics jobs. In the Stream Analytics Explorer, you can easily manage your jobs, view job diagram, and debug in Job Monitor.