Here is adoptded version to simplify module building.
Azure iot edge temp sensor.
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.
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.
Get your iot hub ready for data access by adding a consumer group.
When deployed to a device code in the temperature sensor project collects temperature and barometric data from the raspberry pi temperature sensor and sends it to an azure iot hub.
An azure iot edge device.
Iot edge module developed by microsoft as sample.
The simulated temperature sensor used in the getting started tutorial for azure iot edge.
In this section you create an azure stream analytics job that will do the following steps.
This project is designed for developers who have an interest in learning more about azure iot edge capabilities.
For an overview of azure iot edge terms see glossary of iot edge terms.
In this project you will do the following.
Linux or windows containers x64 or arm32.
For examples of iot edge modules including the simulated temperature module see iot edge module samples.
The module used in this quickstart is a simulated sensor that generates temperature humidity and pressure data.
A sample azure iot edge module that periodically sends simulated temperature readings.
You learn how to visualize real time sensor data that your azure iot hub receives by using power bi.
You can use an azure virtual machine as an iot edge device by following the steps in the quickstart for linux or windows devices.
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.
A free or standard tier iot hub in azure.
This simulated sensor periodically generates fake temperature readings which increase in value over time.
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Create an azure stream analytics job.