IoT solutions must monitor real-time data coming from devices and take action when troubling patterns are found. This capability is referred to as “stream processing,” and at the scale of IoT, customers need a robust and scalable solution. Many of our Azure IoT customers use Microsoft Azure Stream Analytics to meet these needs, and with its recently announced features, Azure Stream Analytics can help customers take their IoT solutions to the next level:
- Native support for geospatial functions helps developers build solutions for connected car, connected fleet management and related “things that move” scenarios. More than 100 customers including NASCAR have already been using these geospatial capabilities in preview to define geographical areas, evaluate incoming geospatial data for containment, proximity and overlap, and generate alerts or easily kick off necessary workflows.
- Low-latency dashboards offer an improved experience for solutions built using Azure Stream Analytics. High-volume, streaming data analytics can now be output to Microsoft Power BI with significantly lower latency.
- Job diagnostics logs simplify self-service troubleshooting. Customers now have a systematic way to deal with lost, late or malformed data — and to investigate errors caused by bad data.
- Visual Studio integration with Azure Stream Analytics is also available in public preview.