Azure Stream Analytics is known as a rule engine and is designed to analyze and process large amounts of streaming data. Because the dynamic nature of Azure Stream Analytics it's hard to guarantee the quality of the data. Especially when using multiple inputs, references and outputs.

But is it possible to improve the data quality of your solution by applying unit tests?

Yes it is, by creating test scenarios in Visual Studio Code for an Azure Stream Analytics project, data quality will improve even before deploying your solution to the cloud. It is also possible to integrate these test scenarios into your Azure DevOps CI/CD pipeline.

During this session, we will cover the basics of Azure Stream Analytics and demonstrate how to set up your own test scenarios in Visual Studio Code.

Afterward, you will be ready to improve your data quality for your future project...