Devices are becoming smarter and more connected, and the expectation of what can be done with the data generated and collected from these devices continues to evolve both in the commercial and consumer spaces. Whether you are doing health monitoring, building or home automation, social media analytics, application monitoring, energy management, manufacturing, etc., there are millions of events or messages being generated from devices from which you need to gain real-time insights.
Azure Stream Analytics enables you to easily get these real-time insights by creating a scalable stream processing solution to analyze the content of these events, identify anomalies, trigger alerts, and power real-time dashboards.
In this session learn how to go from a sensor collecting live temperature, humidity etc. to dashboards, real time analytics, and real time alerting. Learn about all the various Azure services that will be created in order to enable your end to end solution. You will also see how you can use anomaly detection machine learning model over the sensor data.