Azure Stream Analytics

Azure Stream Analytics is a real-time analytics and complex event-processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously. Patterns and relationships can be identified in information extracted from a number of input sources including devices, sensors, clickstreams, social media feeds, and applications. These patterns can be used to trigger actions and initiate workflows such as creating alerts, feeding information to a reporting tool, or storing transformed data for later use. Also, Stream Analytics is available on Azure IoT Edge runtime, enabling to process data on IoT devices.

The following scenarios are examples of when you can use Azure Stream Analytics:

Analyze real-time telemetry streams from IoT devices
Web logs/clickstream analytics
Geospatial analytics for fleet management and driverless vehicles
Remote monitoring and predictive maintenance of high value assets
Real-time analytics on Point of Sale data for inventory control and anomaly detection

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Azure Stream Analytics offer SQL Query language over stream of data, out of the box Azure integrations and custom functions support. Today a quick tutorial around this easy to use streaming service. Code samples: Agenda 00:00 Introduction 05:35 IoT…