[New post] Microsoft Fabric real-time analytics exploration: Home Assistant integration
Now, your Home Assistant can send telemetry to Microsoft Fabric using the EventStream Custom App source acting as an Azure Event Hub. Then, use KQL to render historical charts. Christmas time seems to be the most wonderful time of the year for IoT Developers. The combination of both having some spare time and getting geeky gifts (or buying them for yourself) makes it the perfect moment to do some home automation. So, let's have some fun! Check out the full story of https://sandervandevelde.wordpress.com/2023/12/20/microsoft-fabric-real-time-analytics-exploration-home-assistant-integration-christmas-edition/ about Real-Time Analytics in 10+ parts. https://www.linkedin.com/feed/hashtag/?keywords=mvpbuzz&highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7143383503651446785[New post] Microsoft Fabric real-time analytics exploration: Managed Grafana integration
The goal for today is to render real-time ingested Eventstream IoT data available in a Managed Grafana instance. https://sandervandevelde.wordpress.com/2023/12/05/microsoft-fabric-real-time-analytics-exploration-managed-grafana-integration/[New post] Microsoft Fabric real-time analytics exploration: Eventstream Custom apps integration
Learn how customs apps can be integrated in Microsoft Fabric using EventHub-compatible public endpoints living in Fabric Eventstream, both for ingress and egress. These are part eight and nine in a series of posts about Fabric for IoT Engineers. Check out Ingress https://sandervandevelde.wordpress.com/2023/12/02/microsoft-fabric-real-time-analytics-exploration-eventstream-source-for-custom-app-ingress/%20 and Egress https://sandervandevelde.wordpress.com/2023/12/02/microsoft-fabric-real-time-analytics-exploration-eventstream-destination-for-custom-app-egress/#mvpbuzz[new blog post] Microsoft Fabric real-time analytics exploration: Streaming to a Lakehouse
The goal for this post is to ingest Eventstream IoT data coming from an actual device and to pass that data on to a Lakehouse. We will learn how to process the IoT data using the SQL language and will touch on the usage of Notebooks. This is part six about Microsoft Fabric for IoT Developers. Read the full story https://sandervandevelde.wordpress.com/2023/11/20/microsoft-fabric-real-time-analytics-exploration-streaming-to-a-lakehouse/.[blog series] Introduction to Microsoft Fabric Real-Time Analytics for IoT developers
Are you interested in combining Microsoft Fabric Real-Time Analytics with Azure IoT? In my series of five blog posts, learn how to combine Eventstreams, KQL Databases, Reflect, and Data Activator for powerful queries, insightful reports, and condition-based alerts. Learn about working with (streaming) sample data and actual IoT data ingested from the industrial router via an Azure IoT Hub. For those who are just exploring Microsoft Fabric, learn how to pause your Capacity automatically using an Azure Function and save some money. Just start here https://sandervandevelde.wordpress.com/2023/11/10/microsoft-fabric-real-time-analytics-exploration-for-iot-developers/ https://sandervandevelde.wordpress.com/2023/11/12/microsoft-fabric-real-time-analytics-exploration-storing-and-reporting-time-series-data/ https://sandervandevelde.wordpress.com/2023/11/13/microsoft-fabric-real-time-analytics-exploration-ingesting-streams-of-sample-events/ https://sandervandevelde.wordpress.com/2023/11/14/microsoft-fabric-real-time-analytics-exploration-ingesting-iot-device-events/ https://sandervandevelde.wordpress.com/2023/11/15/microsoft-fabric-real-time-analytics-exploration-activating-iot-device-reflex-data/
