Sensors, data and dashboards: Azure IoT end-to-end
summary
Raspberry Pi with Sense HAT runs Windows 10 IoT Core and pushes sensor telemetry to IoT Hub where messages use routing and consumer groups. Stream Analytics performs windowed aggregates and outputs to Cosmos DB and a streaming Power BI dataset; Time Series Insights provides a warm analytics view that quickly correlates humidity spikes with light drops (a shower in the demo). The cloud also controls devices via device twin properties and direct methods. Live demos partially fail but the end-to-end prototype is built and demonstrably functional.
AI-written summary · about
chapters (7)
- 0:00Start
- 10:19Azure loT reference architecture
- 12:39lot Hub endpoints
- 19:51D2C Azure loT message routing
- 23:41Azure Stream Analytics on edge devices
- 24:56Azure Time Series Insights
- 26:00Demo architecture
related talks
41mAzure IoT Service
45mInternet of everything: let's talk about IoT and Azure
01h 01mCreate the Internet of Your Things - The Microsoft Azure IoT Suite
44mAzure and the Internet of Things
42mBuilding IoT solutions using Azure IoT Edge
55mIoT Solution Recipes - Beyond your first slice of Raspberry Pi
15mAzure IoT from the edge to ADX
47mSolidifying industrial IoT with Azure IoT Hub