Users can now ingest, process, view, and analyze real-time streaming data into a table directly from a SQL database in the Azure portal using [Azure Stream Analytics](../stream-analytics/stream-analytics-introduction.md). This experience enables a wide variety of scenarios such as connected car, remote monitoring, fraud detection, and many more. In the Azure portal, you can select an events source (Event Hub/IoT Hub), view incoming real-time events, and select a table to store events. You can also write Stream Analytics Query Language queries in the portal to transform incoming events and store them in the selected table. This new entry point is in addition to the creation and configuration experiences that already exist in Stream Analytics. This experience starts from the context of your database, enabling you to quickly set up a Stream Analytics job and navigate seamlessly between the Azure SQL Database and Stream Analytics experiences.
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