Create the Internet of Your Things - The Microsoft Azure IoT Suite
summary
Azure IoT Solutions shows a working pipeline: register devices with a IoT Hub device identity registry, send JSON telemetry over Event Hub via AMQP from simulated devices (demo sends wind-speed every second and the hub receives and queues it), apply Stream Analytics / PowerBI and trigger actions via Logic Apps or Azure Functions, and run a trained two‑class boosted decision tree in Azure Machine Learning web service that returns recommendation probabilities; service latency is low (sub‑10 ms server side) and the system scales to millions of messages.
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chapters (20)
- 0:00Start
- 1:37Agenda
- 3:10The Case Study
- 6:34Micro Services
- 9:23Alert
- 12:22Iot Solutions from Azure
- 14:34Predictive Maintenance
- 15:02Remote Monitoring
- 15:46Azure Iot Suite
- 15:59Create a New Solution
- 21:30Configure Different Action Actions
- 23:26Recap
- 25:26Device Identity Registry
- 27:35Service Fabric
- 30:05Microsoft Azure Devices Package
- 31:24Create an Iot Hub
- 40:55Machine Learning
- 45:09Sentiment Analysis
- 46:20Demoscene Learning Studio
- 49:00Model Scoring
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