Azure Stream Analytics is part of Azure's IoT Suite and offers a pipeline for event processing and real-time analytics for the data that is streaming from various sources. You can use it for scenarios that require real-time analytics on data, such as stock analysis, fraud detection, and analyzing data that comes from a massive amount of sensors, for instance.
Data can come from various sources, such as custom applications, sensors, Azure IoT Hub, and Azure Event Hubs. It can come from Blob Storage as well. Stream Analytics can handle an ingest of data up to 1 GB per second. You can create a Stream Analytics Job, where you configure the data source. You can create a Transformation, where you can query the data for patterns or relationships using a SQL-like language.
You can create filter, sort, or aggregate the data from the data sources. Finally, the...