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FELFEDEZÉS, CSATLAKOZÁS, NÖVEKEDÉS

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FELFEDEZÉS, CSATLAKOZÁS, NÖVEKEDÉS

Microsoft Reactor

Csatlakozzon a Microsoft Reactorhoz, és vegye fel a kapcsolatot startupokkal és fejlesztőkkel élőben

Készen áll az AI használatának megkezdésére? A Microsoft Reactor eseményekkel, képzésekkel és közösségi forrásokkal segíti a startupokat, a vállalkozókat és a fejlesztőket abban, hogy a következő vállalkozásukat mi-technológiára építsék. Tartson velünk!

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Episode 3: Pouring out the data

28 február, 2022 | 11:00 du. - 1:00 de. (UTC) Koordinált egyetemes idő

  • Formátum:
  • alt##LivestreamLivestream

Téma: IoT/Edge-számítástechnika

Nyelv: Angol

Large IoT applications can take many forms including smart buildings, digital agriculture or even smart cities and implementing them can be daunting. Join Jim and Sam as they demystify some of this by overengineering a ‘simple’ home IoT project in these live coding sessions.

Sam loves tea and wants to ensure he always has enough, and Jim has some ideas on how he could use IoT to monitor how much tea Sam has left in his pantry. Rather than just wire up a simple sensor, our two intrepid coders will build out a smart supply chain taking advantage of Jim’s IoT knowledge, and Sam’s experience with supply chain. They will look at gathering data from sensors, sending it to the cloud, then analyzing tea usage over time to see when to order some more based off lead times for Sam’s 2 favorite suppliers. All this data is no good without dashboards, so they will dig into reporting tools to chart just how much tea Sam drinks every day and show it on dashboards that can be mounted in Sam’s pantry.

Episode 3:
How much tea does Sam consume? Jim and Sam extract the data from the IoT Hub and store it somewhere, looking at different database options and how data can be streamed in using tools such as Azure Functions and Stream Analytics. They look at costs and decide on an architecture to store all the data.
Every time Sam picks up his jar of tea, the weight will change, then change back when the jar is replaced, so Jim and Sam will look at how to detect these anomalies and ignore them, reducing the data to just the data points they want.

Tools/services used: VS Code, GitHub, Azure IoT Hub, Azure Stream Analytics, Azure Functions, Anomaly detection, CosmosDB,/MongoDB/SQL/PostGreSQL or other database

Who is this session targeted for:

  • IoT developers who are interested in larger IoT applications
  • Students, makers, and hobbyists who want to take projects further

Speakers:
Jim Bennett, Senior Cloud Advocate
Jim does things with IoT and Azure in the Developer Relations team at Microsoft, mainly creating content for students and faculty to help them be successful with Microsoft technologies. He’s British, so sounds way smarter than he actually is, and is happy he moved to Redmond in time to be locked down at home and not see the office he came to work in, or the places he wanted to visit. In the past he’s lived in 4 continents working as a developer in the mobile, desktop, and scientific space. He also hates cats, but has an 8 year old daughter who loves cats, so he has 2 cats.

Sam Wronski, Regional Cloud Advocate
Sam Wronski is a Regional Cloud Advocate at Microsoft focused on empowering the San Francisco area to build awesome things with Azure.
Sam has spent years building applications and tooling powered by containers. He's run the World of Zero channel on YouTube for the past 5 years where he's taught software engineering and game development.

Hangszórók

Kérdéseivel forduljon hozzánk a következő címen: reactor@microsoft.com