Real-time data analytics using #sensor #raspberrypi #azureiot #powerbi
'Internet of Things' is awesome. Things were connected before also and real-time telemetry were being used prior also, but cloud has commoditize it now. Earlier where only corporation were able to do real-time monitoring of their equipment, today even people like me can build-deploy-monitor also :-). That's is what cloud has made difference.
- Cost of innovation has gone down.
- Potentials to explore IOT has gone beyond tradition industry i.e. heavy industry to non traditional target industries like agriculture or even home security
- Extreme compute (not just heavy size but computer at micro size and even at edge) and storage power (& innovation) is helping building new architecture. example: Modern architecture where we can do IOT @ Edge or @ Central location. Choice is dependent upon business problem.
So, I had tested out IOT experiment. It might be simple for few of you and some of you may have already tested this. But, I am just trying to put down things which I learnt during this way. I wanted to cover entire life-cycle i.e. Data, Compute, Collection, Analysis, Visualization
Scenario: Real-time House monitoring temperature in (degree Celsius) and Humidity (%) and publishing dashboard so that end user, on browser/mobile app/desktop, can track telemetry for any given point of time.
Tool Used:
- Raspberry Pi 3 B and it's kit components specifically, micro memory card, male/female jumper wire, Breadboard
- DHT22 Sensor
- Azure Subscription (trial is good enough for this experiment)
- Azure IOT Hub
- Azure Stream Analytics Jobs
- PowerBI Subscription (Free version is good enough for this experiment)
Ultimately, Real-time data visualization happening on choice of my device (browser/app/desktop).
For more details and walk-through, you can visit https://bit.ly/2BquW5Y
