Many streaming data scenarios require to collect, process, and aggregate events from widely distributed data sources, with high throughput and low latency. Examples are connected car diagnostics, web browser telemetry data, or mobile device GPS information. To enable such use cases in the Cloud, we are releasing Windows Azure SQL StreamInsight. This service enables event-driven applications where the streaming computations are performed in the Cloud. Beyond the core StreamInsight functionality the service will provide built-in connectivity to common data sources and sinks and a consistent developer, deployment, manageability, and monitoring experience. In this session we will walk you through an end-to-end demo and provide an overview of the user model, current status, and roadmap of Windows Azure SQL StreamInsight.
For more information, check out this course on Microsoft Virtual Academy: