Azure Digital Twins Tutorial – This is a step-by-step guide to getting started with Azure digital twins using a Raspberry Pi that sends sensor data to update the digital twin.

Important update: You can now access a hosted version of Azure Digital Twins Explorer if you don't want to download it to your computer. Here is the link to it: https://lnkd.in/dfA994M

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EPISODE LINKS
Digital Twin Definition Language (DTDL) specification: https://github.com/Azure/opendigitaltwins-dtdl/blob/master/DTDL/v2/dtdlv2.md
Demo factory digital twin model: https://github.com/Azure/opendigitaltwins-dtdl/blob/master/DTDL/v2/dtdlv2.md
Azure Digital Twins Explorer: https://docs.microsoft.com/en-us/samples/azure-samples/digital-twins-explorer/digital-twins-explorer/
Azure Function app demo code: https://drive.google.com/file/d/1OhV0E6oSG08SFstciIqJNMCHA7ssKUrp/view?uspsharing
Azure Digital Twin device simulator code:
https://github.com/Azure-Samples/digital-twins-samples/tree/master/DeviceSimulator
Raspberry Pi Demo C# UWP Code: https://drive.google.com/file/d/1osHI7DoDhOAY31z9Jlr7FaD0_d2SxcVU/view?uspsharing
Digital twin definition language ontologies for smart cities: https://github.com/Azure/opendigitaltwins-smartcities

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VIDEO PREVIEW
0:00 – Introduction
1:07 – How a digital twin works
3:08 – Fundamentals of Digital Twin Definition Language (DTDL)
6:05 – Creating a digital twin model for Demo Factory using DTDL
9:10 a.m. – Creating an Azure Digital Twins instance on Azure Cloud
11:59 – Introduction to the Azure Digital Twins Explorer
1:20 p.m. – Downloading and running Azure Digital Twins Explorer.
3:49 p.m. – Connecting Azure Digital Explorer to Azure Digital Twins instance
4:40 p.m. – Uploading a model to Azure using Azure Digital Twins Explorer.
5:13 p.m. – Creating digital twins using Azure Digital Twins Explorer.
7:26 p.m. – Creation of IoT Hub for digital twin update
21:44​ – Developing an Azure Function application for data ingestion in Azure Digital Twin
32:44 – Connect Azure IoT Hub to Function App
36:25​ – Updating the digital twin with real data from the Raspberry Pi sensors.

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