During the Ignite Conference, Microsoft released Azure Stream Analytics no-code editor, a drag-and-drop canvas for developing jobs for stream processing scenarios such as streaming ETL, ingestion ...

A new integration allows customers to create real-time dashboards based on Internet of things data from their Azure Stream Analytics.

Microsoft is extending its Azure Stream Analytics tool set with anomaly detection capabilities, powered by Machine Learning. For those curious to try, it is available now in private preview.

Sample code like this glosses over the complexity of building a service around Azure Stream Analytics and Event Hubs. However, it's an example of the type of IoT application that can be built ...

In addition, the company is bringing its Azure Stream Analytics to edge devices, making it easier to provision new IoT devices, and it’s launching a completely new analytics service for time ...

Azure Stream Analytics allows users to perform real-time analytics on data generated by Internet of Things (IoT) devices using an SQL-like language.

Using Azure AI Machine Learning and Stream Analytics, the dashboard allows Sydney Airport to forecast customer numbers at each touchpoint by collecting information in granular detail.