Azure Stream Analytics
Azure Stream Analytics is a real-time analytics and complex event-processing engine from Microsoft Azure, designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously. It enables users to run real-time analytical computations on data streams from devices, sensors, websites, social media, applications, and more, with built-in integration to Azure services like IoT Hub, Event Hubs, and Blob Storage. The service supports SQL-like query language for transformations and can output results to various sinks for visualization, storage, or further processing.
Developers should learn Azure Stream Analytics when building real-time data processing applications, such as IoT monitoring, fraud detection, live dashboards, or clickstream analysis, where low-latency insights are critical. It is particularly useful in scenarios requiring scalable, serverless stream processing without managing infrastructure, as it handles partitioning, scaling, and fault tolerance automatically. Use cases include predictive maintenance in manufacturing, real-time personalization in e-commerce, and anomaly detection in financial transactions.