In this section you create an azure stream analytics job that will do the following steps.
Azure iot edge temp sensor.
For an overview of azure iot edge terms see glossary of iot edge terms.
A free or standard tier iot hub in azure.
This project is designed for developers who have an interest in learning more about azure iot edge capabilities.
If you want to try to visualize the data in your iot hub with a web app see use a web app to visualize real time sensor data from azure iot hub.
Create an azure stream analytics job.
You learn how to visualize real time sensor data that your azure iot hub receives by using power bi.
The module used in this quickstart is a simulated sensor that generates temperature humidity and pressure data.
You can continue on to the next tutorials to learn how azure iot edge can help you deploy azure cloud services to process and analyze data at the edge.
The other azure iot edge tutorials build upon the work you do here by deploying additional modules that analyze the simulated data for business insights.
Iot edge module developed by microsoft as sample.
Get your iot hub ready for data access by adding a consumer group.
This project provides a hands on introduction to azure iot edge by setting up a raspberry pi 3 as an azure iot edge device and deploying code to it that sends temperature data to azure iot hub.
An azure iot edge device.
In this project you will do the following.
Here is adoptded version to simplify module building.
A sample azure iot edge module that periodically sends simulated temperature readings.
The simulated temperature sensor used in the getting started tutorial for azure iot edge.
150mb of disk space and 50mb of ram.
This simulated sensor periodically generates fake temperature readings which increase in value over time.
Linux or windows containers x64 or arm32.
You can use an azure virtual machine as an iot edge device by following the steps in the quickstart for linux or windows devices.
It s not so easy to build module from the microsoft source.