Working with streaming data in Azure Stream Analytics
Azure Stream Analytics is an event-processing engine that allows you to analyze large volumes on streaming data in flight. Patterns and relationships can be identified in information extracted from a variety of input sources including devices, sensors, websites, social media feeds, and applications. The insights discovered can be used to trigger other actions as part of a workflow including creating alerts, feeding information to a reporting tool, or storing transformed data for later use.
Stream Analytics is ideal in scenarios related to real-time data warehousing. When used with event processing services such as Azure Event Hubs or Azure IoT Hub, Stream Analytics can be used to perform data cleansing, data reduction, and data store and forward needs. Stream Analytics can load data directly to Azure SQL Data Warehouse using the SQL output adapter, but throughput can be improved some increased latency by using PolyBase to read...