Olivier Bloch

@mergisi: In this example the devices are connected over Ethernet, so no specific cabling required

@RipinA: Hi RipinA,
There are several existing solutions for more accurate geolocation (especially indoors) that can also be used in combination, such as Wifi location, Bluetooth, RFID, UWB. Any of these solutions can be used on the device and eventually you could have the back-end analyse each data point from geolocation sensors carried by workers and extrapolate more accurate location. You can also consider adding data from other sensors (proximity, cameras...) that are dispatched in the work environment (e.g. a combination of Wifi location + monitoring cameras + ML models could do the trick).

Hi @Ashley Alex, this video is already 2 years old (which makes me realize I should archive it :)) and since then the tooling has indeed been integrated into VS Code and the Azure CLI IoT extension. That said there are still functionalities that this tool offer that are not part of the mainstream tooling and the repo is still maintained.

Sorry for that. Actually we had a delay on the blog post publication. It will be live on 5/26th

Thanks @jonmikeli
stay tuned for some updates about IoT plug and play preview in the next few weeks

Hi @girishmeena24
Here are some pointers for you:
https://aka.ms/WhatIsDigitalTwinsAbout

Hi @dd1403
The course is free to go through on eDx. You pay $99 for the capstone project and the verified certificate. You will find all the information on the program's page https://aka.ms/mppiot, Just click Enroll Now to get started.
When it comes to Azure account/subscription, you can go through the class using a free trial account.
And for the hardware necessary to finish some of the classes/capstone project, you can see details on the eDx page https://www.edx.org/course/microsoft-professional-capstone-internet-of-things-2

Hey @hgrewal
I recommend you look into the Azure IoT solution accelerator for connected factory as it addresses OPC-UA integration with Azure IoT: https://www.azureiotsolutions.com/Accelerators
Also we are working on the integration of IoT Edge in IoT Central, which will allow to leverage the work we have shipped for supporting OPC-UA on Azure IoT Edge to connect your OPC-UA infrastructure directly into IoT Central

Hi @Deepak
the scenario you want to implement is most likely doable. There are several ways you can implement this depending on your application specifics such as throughput expected, latency,...
Azure IoT Hub will allow you to route incoming messages based on message properties as well as content to specific endpoint. If you want to apply a deviation on all inbound devices telemetry then the simplest way is to attach an Azure Function to the default endpoint of IoT Hub, then apply your deviation in the Function and output result. Depending on how you want to store then expose results, you have several options for the output of the Function such as blob storage, Time Series Insights Data Lake... once again the best way to implement this will depend on your scenario and application specifics. I recommend you check out our learning material on https://aka.ms/iotschool as well as docs.microsoft.com to identify the best solution suited to your needs.
Happy coding!

@Cholm321: The feature is still in preview and free to use during the preview period. The actual pricing has not been announced yet but will be on the page Reza pointed you to when we announce the General Availability. For now there is the following message in the Q&A section of the IoT Hub pricing page:

What is the price for the Device Streams feature (currently in preview)?

@Aydin Gencler: All the setup instructions are on this one ReadMe . Install steps are not as trivial as a one click deploy at this point in time, but that is very likely something the team will make simpler in the future

 

@Matt: This article should help you further: https://docs.microsoft.com/en-us/azure/iot-hub/tutorial-firmware-update