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Great video my friend. This was a great into. I struggled with info on what to do with the data once it hit the hub. Thanks a lot. I will check out your other videos.
Hi, I have a question: On the timeline of your video 55:00, where you are using stream analytics to store data in SQL DB from IOT HUB. How do send your data? Was it from the Node-red program or using C#? Can you send it from NodeRed? I tried to get data into the IoT hub as used as INPU Stream, but the cloud did not get any transferred to SQL DB. I used the same query syntax you had?
In Node-Red you have two "Prepare Azure Message" functions, so it sends two messages at a time? How can I make these two values in one single json format?
very well explained. Thankyou this is very useful. Can you please explain what is the procedure to be followed if we have 1000 devices that are required to send data to IoT hub. Should we register each one of them as a separate IoT device?
Thank you for the feedback, Harsha. You could use Azure IoT Hub Device Provisioning Service to automate the process. Here's the link for more details: docs.microsoft.com/en-us/azure/iot-dps/
Dear sir, my MQTT broker always in status "connecting". I have followed all your instructions but I think have some problems with port 8883 so that I can't connect to my iothub. Can you give me some advices in this case?
Thanks for the question, Edgar. Yes, you can. The only reason why you'd need an industrial device or something like a Raspberry Pi is to access sensors via its Input/Outputs. Otherwise, you can generate the data within your C# application and publish it to Azure.
I started with stream analytics on my project but switched to azure func like Idustry40 recommended. Its alot cheaper to run. Just have a func that pushes events to storage
@@industry40tvonline Thank you so much, I have a quick question, i have a raspberry pi and i have a model speech to text and i would like to know if there is a Service in Azure to deploy my code and also receive and output in my raspberry pi. the purpose is to use cloud to run the AI models and the code because they consume a lot of RAM
If you enjoyed this video you will also find my free newsletter valuable. Join 2500+ subscribers to get weekly actionable tips on the architecture and development of IIoT solutions.
→ SUBSCRIBE HERE: www.industry40.tv
you've taught me more in one hour than I've learnt in the past 2 days. extremely detailed, extremely easy to follow, love it! Thank you ...
Thank you for the feedback, Tarunpreet. I'm glad you found the tutorial useful.
I've been reading the doc on azure for 2 days and I have the same thought. EAsy and structured! Thanks a lot
Massively informative and well structured. Great job, I will send the link to your video to my colleagues.
Thank you for this practicle tutorial. you really provide complete course in 1 hour
Like from first 10 min, i don;t usually do that, but what you say is extremly to the point. Good job
Thank you for the feedback, Radu. I appreciate it.
Amazing... Covered lot of things in one go. What you said is crystal clear... Love from India, kerala ❤️
Thank you, Faizal. I'm glad you found the video useful.
Great Video . Simple and to the point! Thanks from Morocco
Thank you Anass
amazing guidance! I get the IIoT knowledge from your videos and collecting data on the production floor in china:)
Thank you for the support, Kase. I'm glad to know you are productively using the knowledge from this channel.
Great Video . Simple and to the point! Love from India
Thank you, Gurdeep. I'm glad you love the video.
Exceptional! Can you please post a video to setup the hardware like Raspberry pie that you used for demo ?
Wow, this is amazing tutorial. Thank you very much. I have learned a lot.
Great Video with detailed walk through
Thanks for watching, Thunaiselvam.
Great video my friend. This was a great into. I struggled with info on what to do with the data once it hit the hub. Thanks a lot. I will check out your other videos.
Thank you, Paul.
This video deserve more likes for sure.
Thank you for your feedback. I'm glad you feel that way.
Great class.
Keep up the good work.
Thank You,
Natasha Samuel
Thank you for the feedback, Natasha. Much appreciated!
Very good in explaining out in detail...#BigUp
Thank you a lot. This is very interesting. I'll suscribe
Thank you, much appreciated!
Great job! You're a legend mate :)
Thanks, Jörg. I'm glad you found it useful.
Such a great video. Thank you very much!
Thank you, Ojonav. I'm glad you found it helfpul.
THIS IS AMAZING, THANK YOU!!!!
Thank you, Dylan. I'm glad you like the tutorial!
Great explanation, Great Job :)
Thank you
Hi, I have a question: On the timeline of your video 55:00, where you are using stream analytics to store data in SQL DB from IOT HUB. How do send your data? Was it from the Node-red program or using C#? Can you send it from NodeRed? I tried to get data into the IoT hub as used as INPU Stream, but the cloud did not get any transferred to SQL DB. I used the same query syntax you had?
Thank you. The almighty god bless you.
So nice of you. Thank you, Suchat.
Thank you
Thanks for watching
In Node-Red you have two "Prepare Azure Message" functions, so it sends two messages at a time? How can I make these two values in one single json format?
This is pretty cool
Thank you for your comment.
very well explained. Thankyou this is very useful. Can you please explain what is the procedure to be followed if we have 1000 devices that are required to send data to IoT hub. Should we register each one of them as a separate IoT device?
Thank you for the feedback, Harsha. You could use Azure IoT Hub Device Provisioning Service to automate the process. Here's the link for more details: docs.microsoft.com/en-us/azure/iot-dps/
Dear sir, my MQTT broker always in status "connecting". I have followed all your instructions but I think have some problems with port 8883 so that I can't connect to my iothub. Can you give me some advices in this case?
the device twin which you configure, where do you get that?
Nice video, a complete end to end course on IoT for Azure.
Do you have anything around data modelling for IoT analytics.
Thank you for the feedback, Samyam. I actually have a video on that topic that is coming up.
Question: Can I send data from a Standa Alone C# application running on a normal PC, to Azure IoT Hub?
Thanks for the question, Edgar. Yes, you can. The only reason why you'd need an industrial device or something like a Raspberry Pi is to access sensors via its Input/Outputs. Otherwise, you can generate the data within your C# application and publish it to Azure.
Great video !!! #ZA
Thank you, Linda. Much appreciated.
Love the video! Question: do you have to use C# to communicate with the Dht11? Why not Python?
You can use any language that has DHt11 libraries.
how can i display this data in azure webapp
Thanks for great session Can We use any simulator instead of using hardware? Can You please recommend any?
Thank you. Azure has some sensor simulator codes that you can check out.
@@industry40tvonline Thanks
Is there any way to avoid stream analyrics. It's too expensive
Thanks for watching. It all depends on your application, but serverless functions also work well for real-time data processing.
I started with stream analytics on my project but switched to azure func like Idustry40 recommended. Its alot cheaper to run. Just have a func that pushes events to storage
Perfect, I'll start with that. Thank you and very good video!
@@webdeveloperninja9220 can you please let me know how much is the delay you are seeing when switching over to Functions from stream analytics?
can i send data from my IoT device with Python to the Iot HUB?
Yes, Azure has an IoT hub SDK for Python.
@@industry40tvonline Thank you so much, I have a quick question, i have a raspberry pi and i have a model speech to text and i would like to know if there is a Service in Azure to deploy my code and also receive and output in my raspberry pi. the purpose is to use cloud to run the AI models and the code because they consume a lot of RAM
Do you have tutorials for ESP32?
No, not at the moment. Probably in the near future.