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.

A lot of the data is ingested via Azure Event Hubs and Stream Analytics, then landed in Azure Blob storage, where it can be processed in different ways.

Microsoft is gathering data from the tracks and the cars, correlating it in the cloud with Azure streaming analytics, and presenting it through the Race Control Web app in real-time.

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.

Cartwright touts Azure IoT Connector for FHIR's capabilities, such as its ability to convert biometric data –blood glucose levels, heart rate and pulse oximeter readings – from connected devices into ...

Microsoft last year began that process for .NET itself. But Trill is implemented inside the Azure Stream Analytics service, which is currently available under public preview.