Update: Recordings are done, it was a Blizz! Check out the recording here.
We have a lot of upgrades: a new route, new telemetry, new Azure services, etc.
This is an online event with live recordings. Please register here for free.
Join us on Thursday 24th November at 14:00 GMT for the next episode in our exciting Tech Days series, A Flight into IoT 2 – Long-Haul.
In this brand-new Tech Days event, hosts Clifford Agius and Pete Gallagher – both Microsoft MVPs – will bring you ‘A Flight into IoT – Long Haul’, a follow-up to the highly successful ‘A Flight into IoT’. We would highly recommend you watch the first session before attending ‘Long-Haul’.
Microsoft Most Valuable Professionals (MVPs) Cliff Agius and Pete Gallagher take a long-haul flight – or two – with fellow MVPs Maria-Anastasia Moustaka, Sander van de Velde, John Lunn (aka jonnychipz) and José Simões. They’ll deep-dive into the tech to show you how to hook various IoT devices together to not only track data from the flights but how you can process the data and create 3D models using Azure Digital Twins – and why that’s important. Plus everything runs on OSS.
They’ll show you how to build on your current developer skills to integrate IoT into your business applications (and passion projects!) and set you up on your journey to becoming certified in IoT with the Microsoft AZ220 qualification.
|14:00 – 14:05||Welcome and introductions|
|14:05 – 14:35||Cliff, Pete and José show how to send the flight data to an IoT Hub using three different devices; ESP32, Meadow and Pico W. Each device sends different data. e.g. ESP32 sends engine data (Engine Pressure Ratio (Torque), Engine Temp, Fuel Flow); Meadow sends cabin data (Inside and Outside Temp, Humidity, Pressure), Pico W sends flight controls (Instrument Data including Altitude, Fuel, Air Speed, Vertical Speed and Heading).|
|14:35 – 15:05||Maria-Anastasia walks through data processing with Stream Analytics, including using the Stream Analytics to process data and use the Anomaly Detection functions; Spike and Dip for Altitude and Change point for Engine “Torque” to detect issues with the airplane during the flight.|
|15:05 – 15:35||Sander is joined by Maria-Anastasia, showing us how to use Azure Data Explorer, ingest data from IoT Hub and a Stream Analytics Job, the Kusto Query Language and Dashboards.|
|15:35 – 16:00||Sander is joined by Pete and Cliff to create 3D Scene Studio using Azure Digital Twins and track engine and flight data along with reacting to Stream Analytics Anomaly Detection events.|
|16:00 – 16:30||John Lunn will run through a Power BI Dashboard to show Processed Data and Alerts. The dashboard will show the flight path with different highlighted areas to indicate events such as turbulence or issues with the plane. Then, finally showing an embedded Digital Twin 3d model right there in the Power BI Dashboard.|
|16:30- 17:00||Q&A and close|
As you can see, I will present twice, I hope you will catch your flight in time!
Please register here for free.