1. IoT 101 with Raspberry Pi and Azure
Antonio Abalos Castillo
@antonioabalos
IoT 101 with Raspberry Pi and Azure

2. Our awesome sponsors!
Please visit the sponsor area in the break and interact with them. They are the reason we can hold this conference free of charge!

3. Agenda

4. Raspberry overview Pi 1 launched in 2012 Pi 2 launched in 2014
Pi 3 launched in 2016 (quad core, HDMI, Wi-Fi and Bluetooth)

5. Raspberry models
More info:

6. Raspberry 3 Model B IO Bus Screen (embedded) Micro SD card (storage)
USB x4
Ethernet
Power (Micro USB) HDMI Camera Sound

7. What else do I need? Power supply (2.5A)
Class 10 micro SD card, 8GB or more
USB keyboard
USB mouse
HDMI cable
HDMI screen

8. Setup New out-of-the-box software (NOOBS) DHT22 sensor
4GB downloadable image (8GB or bigger micro SD card recommended)
Based on Raspbian (Linux Debian)
Includes Python, Java, some demos and office tools
DHT22 sensor
Connects directly to the GPIO

9. Wiring setup Raspberry Pi with DHT22

10. Setup

11. Demo 1

12. Demo 1 – From Raspberry to Power BI

13. Demo 1 – From Raspberry to Power BI
Configure Power BI streaming datasets
Prepare the development environment
Download and customize scripts
Switch on
Create Power BI dashboard

14. Demo 1 – Power BI new streaming dataset
Go to “Streaming datasets” and create a new one
Choose “API” connection model
Name the dataset and define the fields that will be sent over to Power BI
Timestamp: DateTime
Temperature: Number
Humidity: Number
Activate “historic data analysis” (provides more flexibility at no cost)

15. Demo 1 – Power BI new streaming dataset
Get the “Push URL”

16. Demo 1 – Download libraries
Download libraries for Python and the DHT22
BASH command prompt
> sudo apt-get update
> sudo apt-get install build-essential python-dev
> git clone
> cd Adafruit_Python_DHT
> sudo python setup.py install

17. Demo 1 – Download and run the script
Download from:
Update code with:
sensor type
Pin
REST_API_URL

18. Demo 1 – Run the script!!

19. Demo 2

20. Demo 2 – Key ideas to run in this way
Real-time data does not always “look nice”
Visualization is not enough, enable Analytics
Detailed data is not always the best, but if we choose to aggregate it, we need to know what we are doing:
When in doubt, save all data
A SQL database can be up to 250GB at a low cost, a good deal!!
It does not cost too much to run real-time data flows in Azure, unless there is a lot of data (gigabytes per day)

21. Demo 2 – From Raspberry to Azure

22. Demo 2 – Sample Power BI output

23. Demo 3?

24. Demo 3 - Plan

25. References Have no money? Online Raspberry simulator
SD card format utility for Windows
DHT22
Power BI + DHT22 demo

26. Our awesome sponsors!
Please visit the sponsor area in the break and interact with them. They are the reason we can hold this conference free of charge!

27. Thank you! Enjoy the conference!
Please complete the evaluation form handed out at the door, after the session. Your feedback will help us to improve future conferences and speakers will appreciate your feedback!
Enjoy the conference!

28. The end