https://github.com/xlegend1024/az-iot-lab
Microsoft Azure IoT Hands-on Labs online guides
https://github.com/xlegend1024/az-iot-lab
azure azureiot hands-on hands-on-lab iot iot-edge
Last synced: 2 months ago
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Microsoft Azure IoT Hands-on Labs online guides
- Host: GitHub
- URL: https://github.com/xlegend1024/az-iot-lab
- Owner: xlegend1024
- Created: 2018-10-14T00:42:33.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-03-14T19:50:11.000Z (over 7 years ago)
- Last Synced: 2025-07-30T14:54:58.315Z (11 months ago)
- Topics: azure, azureiot, hands-on, hands-on-lab, iot, iot-edge
- Language: Python
- Homepage:
- Size: 2.46 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Microsoft Azure IoT Hands-on Lab
## Architecture
## Setup Hands-on Lab Environment
## [00. Create lab environment](https://github.com/xlegend1024/az-iot-hol/blob/master/00CreateLab.md)
> __Login Windows Server Virtual Machine for rest of Labs__ from now here
>
> Login Windows Server VM and open browser, go to [Azure IoT Hands-on Lab](https://aka.ms/mtcs-iotlab)
>
> Login [Azure Portal](https://portal.azure.com) inside of the VM
## 01. Create Cloud Gateway
Login Windows Server VM, "**azlab###wvm**" and __Download__ the sample project from [here](https://github.com/xlegend1024/az-iot-hol/raw/master/AzureIoTDevice/azure-iot-samples-node-master.zip).
### Lab 1. Create Azure IoT Hub
Create Cloud Gateway for a IoT Solution
### [Lab 2. Device-to-Cloud (D2C)](https://docs.microsoft.com/en-us/azure/iot-hub/quickstart-send-telemetry-node)
Authenticate your device application and send data
## 02. Time Serise Insight
Let's see what kind of data comes from the device
### Lab 3. Create Time Serise Insight and Visualize data
Create Real-time Dashboard
### [Lab 4. Cloud-to-Device (C2D)](https://docs.microsoft.com/en-us/azure/iot-hub/quickstart-control-device-node)
Commanmd and control your device
## 03. IoT Edge
### [Lab 5. Deploy IoT Edge](https://docs.microsoft.com/en-us/azure/iot-edge/quickstart-linux)
[To install IoT Edge Runtime](https://docs.microsoft.com/en-us/azure/iot-edge/how-to-install-iot-edge-linux)
## 04. Real-time Analytics
Analyze stream data in real-time
### Lab 6. Create Azure Stream Analytics Jobs
Input/Output Names:
|Resource|Alias Name|
|---|---|
|Azure IoT Hub|iothub|
|Azure Cosmos DB|cosmosdb|
|Azure Storage Account(Blob)|blob|
|SQL Databse.tbl10mperf|tbl10mperf|
|SQL Database.tblworklogs|tblworklogs|
|SQL Database.tblbagevent|tblbagevent|
> To save logs in Blob, use following sample
```text
{datetime:yyyy}/{datetime:MM}/{datetime:dd}/{datetime:HH}/{datetime:mm}
```
1. To store raw data To:
* Use CosmosDB and Blob
* Store recored by recored
1. To store aggregated data
* Use SQL Database
* 10 minutes aggregation
1. Use Stream Analytics Query with following
[Stream Analytics Query](https://raw.githubusercontent.com/xlegend1024/az-iot-lab/master/StreamAnalyticJobs/productionline.sql)
---
## [IoT Workshop Survey](https://forms.office.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR0JSaga_FjVEoJdptOgnS7pUQVhFT0lQNEVOMFo5MlM4RzM3SElRRUxXSS4u)