Data flow

1. Clickstream data is sent to Azure Event Hub.
2. IoT data is sent to Azure IoT Hub.
3. Azure Event Hub and Azure IoT Hub push data to Azure Stream Analytics. Azure Stream Analytics processes the data for simple patterns and threshold values.
4. Azure Data Explorer can pull data from Stream Analytics for time series analysis. Azure Data Explorer can also pull data directly from Event Hubs and/or IoT Hub.
5. Azure Machine Learning can use data from Azure Data Explorer to build machine learning models. These models can stored as binary files in blob storage or a Data Explorer database and can be executed in Data Explorer to perform real-time inferencing.
6. After analysis, data can be pushed to Cosmos DB. Cosmos DB provides high-performance storage for documents.
7. Cosmos DB data can be consumed by mobile applications, websites, or other marketing or analytical applications.
8. Power BI can build real-time dashboards from Stream Analytics.

This architecture...