![]() ![]() In a brownfield scenario, the vehicle is retrofitted with an after-market telematics solution.Īzure Stream Analytics picks up the message in real time from Azure IoT Hub, processes the message based on the business logic and sends the data to the serving layer for storage.ĭifferent databases are used depending on the data. ![]() In a greenfield scenario, the vehicle manufacturer might include a Sphere module in each vehicle at time of manufacture. Telematics messages (speed, location, and so on) are sent by an Azure Sphere cellular-enabled device to Azure IoT Hub. The data flows through the solution as follows: Architectureĭownload a Visio file of this architecture. ![]() The architecture uses Azure Sphere and Azure IoT Hub to manage telematics messages, and Azure Stream Analytics processes the messages. This solution builds a real-time data ingestion/processing pipeline to ingest and process messages from IoT devices into a big data analytic platform in Azure. If you'd like us to expand the content with more information, such as potential use cases, alternative services, implementation considerations, or pricing guidance, let us know by providing GitHub feedback. ![]()
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