Multiple Edge Gateway Data Visualization using Azure Data Explorer and Power BISimulated 9 IoT Edge Gateways telemetry data using custom python code deployed in docker containers also, created 9 IoT devices in the Azure IoT hub. Streamed the telemetry data in JSON format/MQTT protocol to the Azure IoT Hub, received the telemetry data in the Azure IoT Hub and ingested the data into 9 different tables. Used KQL Database in the Microsoft Fabric platform to capture, transform and route the real-time telemetry data from all the 9 different simulated devices to the respective target tables in the KQL database. (a)Created graphical visualization such as anomaly detection, time series charts, bar charts, etc. using Kusto Query Language and Azure Data Explorer Dashboard for visualization. (b)Generated detailed real-time and dashboard summary visual charts using Power BI to visualize the simulated telemetry data from all the IoT Gateways across the different locations. NOTE: The below demo video is hosted on YouTube and incase you are unable to view this demo video then access has to be specifically provided.
|