Azure Stream Analytics is a serverless, stateful processing engine that enables real time analytics on streams of data. With it you can ingest and process large data streams just by using SQL.

Its time windowing capabilities and built-in ML can be leveraged to create operational reporting, dashboards, anomaly detection, alerts and notifications pipelines... Its geospatial capabilities unlocks scenarios like fleet management, asset tracking, geo fencing...

It really enables any scenario that requires the generation of synthetic events, or the promotion of events, based on the behavior of cohorts.

In this session we will look at how to best build event-driven apps with Azure Stream Analytic, and benefit from its tight integration with the other serverless technologies of Azure.