Build a Live Indian Railways Dashboard with Microsoft Fabric Real-Time Intelligence
Learn how to build a Live Indian Railways Operations Dashboard using Microsoft Fabric Real-Time Intelligence from scratch. In this hands-on Microsoft Fabric project, you'll learn how to consume a live public railway API, ingest streaming data using Eventstream, transform JSON data using Kusto Query Language (KQL), store it in Eventhouse (KQL Database), and build real-time operational dashboards. This is a complete end-to-end Real-Time Intelligence project that demonstrates how Microsoft Fabric can be used for live analytics and streaming data solutions. 📌Railway API: https://konkan-railway-api.vercel.app/api/v4/fetchTrains 📌KQL Code GitHub Link: https://github.com/SuparnaBabu7/Fabric_Projects/blob/main/Real-Time%20Intelligence/Indian%20Railways/Konkan%20Railway%20Project.md Please share your thought on this. Thank you! watch?v=lLPkSsKH5iwFabric Eventstream: Azure EventHub to Eventhouse | Multi-Schema Inferencing | Real-time Intelligence
Learn how to build real-time intelligence pipelines in Microsoft Fabric! This video demonstrates connecting Azure Event Hubs to an Eventhouse using Fabric Eventstreams, featuring a practical "PizzaBox" delivery scenario. You'll see: Azure Event Hubs Integration: Seamlessly ingest live data streams. Continuous vs. Discrete Events: Understand the difference and how to handle them. Eventstreams No-Code Processor: Filter and transform your data. Multi-Schema Inferencing (Preview): Discover this powerful feature to correctly handle varied data schemas from a single source, preventing unwanted null columns. Eventhouse Destination: Land your clean, processed data for real-time KQL analytics. This demo walks you through setting up connections, applying transformations, and leveraging advanced schema handling for efficient data ingestion. Perfect for data engineers and analysts working with real-time intelligence solutions in Microsoft Fabric! watch?v=zBJsmN3Rl0sBuilding a Real-Time Weather Dashboard in Microsoft Fabric : Step-by-Step Tutorial
In this video, I walk you through a Real-Time Weather Data Pipeline Architecture built using Microsoft Fabric 🌦️📊 You’ll learn how live weather data flows from ingestion to insights using Fabric Real-Time Hub, Eventstream, Eventhouse, KQL Database, and Real-Time Dashboards. 🔍 What You’ll Learn in This Video ✅ Real-Time Weather Data ingestion (Bengaluru example) ✅ Eventstream for streaming ingestion & processing ✅ Eventhouse & KQL Database for real-time storage ✅ KQL Queries & Scripts for transformation ✅ Building real-time dashboards for instant insights ✅ End-to-end Microsoft Fabric real-time architecture If you’re preparing for DP-600, DP-700, or exploring Microsoft Fabric Real-Time Analytics, this video will give you a clear architectural understanding. 📌 Like, Share & Subscribe to support more Fabric & Power BI content! watch?v=UikXmBF3sR8?si=QU5IHpZIAPL7NLE3
Fabric Monday 98: Eventhouse Endpoint
Today I’m sharing a new video that introduces something game-changing in Microsoft Fabric: the Eventhouse Endpoint. Why is this exciting? Because it creates an eventhouse layer over your lakehouses and data warehouses, letting you tap into Eventhouse capabilities and KQL power no matter what format your data is in. What this unlocks: ⭐ Unified access across diverse storage formats ⭐ KQL over your existing analytical assets ⭐ A seamless event-driven lens on top of lakehouses and warehouses If you’ve been wondering how to bring high-performance, event-centric querying into your existing Fabric ecosystem, this new capability is a must-see. Check out the video to understand how it all fits together — without me spoiling the fun! watch?v=2S3gSky6iKkFabric Monday 97: Summarizing Map Data
Working with geographic data can get messy fast — but summarizing it doesn’t have to. This video walks through a practical way to use the existing Map object in Microsoft Fabric to turn location-heavy datasets into clearer insights. A quick peek at what’s demonstrated: 👉 How summarized geographic information can drive cleaner visuals 👉 Using Materialized Lakehouse Views as a solid foundation for map summaries 👉 Simple visualization techniques to bring aggregated data to life If you're working with spatial analytics in Fabric, this approach can make your maps far more meaningful without extra complexity. watch?v=QLjvsynuoYIFabric Monday 95: Creating a Map from Lakehouse Using GeoJSON and PMTILE
Geospatial capabilities in Microsoft Fabric keep getting better — and in my latest video, I show how you can build a fully functional Fabric Map object using spatial data stored in your Lakehouse. In this walkthrough, I cover: 📁 How to organize and prepare GeoJSON files inside a Lakehouse ⚡ How to generate and use PMTiles for fast, cloud-optimized map performance 🗺️ How to create a Map object in Fabric and connect it to your spatial data 🔗 How to bring these layers together into a clean, scalable geospatial experience With this approach, you can keep all your spatial data centrally governed in the Lakehouse while using the Map object as a powerful visualization and analysis layer — without external GIS servers or complex pipelines. watch?v=NHxPGEHBWkwFabric Monday 94: Map Settings
Working with geospatial data in Microsoft Fabric just got a whole lot more powerful. In my latest video, I walk through how to customize Map Settings in the new Map object — giving you full control over how your geodata is presented and interacted with. What You’ll Discover: 🔧 How to configure settings at the Data Layer level (styling markers, color rules, labels, etc.) 🔧 How to adjust settings at the Map level (zoom, basemap, interactions, clutter reduction) 🔧 A practical tour of all the customization options available today Whether you’re mapping IoT devices, store locations, or operational routes, these settings can help you craft the perfect visual experience inside Fabric. Curious to hear how you're using the Map object — let’s chat in the comments! watch?v=makzDM_MZAYFabric Monday 91: Creating Maps with KQL Queries
The new Map visual in Microsoft Fabric is here — and it’s a game changer for anyone working with spatial data. In this new video, I show how you can use KQL Querysets to create interactive maps directly inside Fabric — where each query becomes its own layer 🧩. It’s an elegant idea… but a bit tricky until you see how it all fits together. 🎥 What you’ll see in the demo: ✅ How KQL Querysets turn into map layers ✅ How basic tooltips work using your query fields ✅ A real example using the Boston Safety dataset from Azure Open Datasets The Map object is still evolving, but even in this early stage, it already brings a fresh way to visualize and explore location data natively within Fabric. 💡 Take a look — it’s a short, practical demo that might change how you think about mapping in Fabric! watch?v=nRN4Kx8S3LwFabric Monday 90: Powerful Copy Feature in Queryset
Have you ever wanted to quickly share your query results — not just the code, but also the data preview or even a live, read-only link? With the new copy feature in Queryset, you can now choose exactly what to include: ✅ The query code itself ✅ The data preview ✅ A link to a read-only query — or any combination of these! Perfect for adding to Word documents, PowerPoint presentations, or emails, this feature makes collaboration smoother and sharing insights effortless. Check out this short video 🎥 watch?v=4Kjum_U0yykVahid Doustimajd – From Stream to Screen: Real-Time Intelligence in Microsoft Fabric
🎥Vahid Doustimajd – From Stream to Screen: Real-Time Intelligence in Microsoft Fabric Couldn’t attend live? The full recording is now available! In this session, Vahid Doustimajd demonstrated how to build an end-to-end real-time analytics solution in Microsoft Fabric — from ingestion all the way to visualization. Highlights: 🔹Streaming data with Eventstream 🔹Transforming & storing data in KQL DB and Lakehouse 🔹Using Data Activator for alerts & triggers 🔹Real-time dashboards in Power BI 👉Watch here: https://www.youtube.com/live/lqi1YjkAIRE?si=IE5JbqqqXSX7wn__ Subscribe for past & upcoming sessions! #MicrosoftFabric #FabricCafe #RealTimeAnalytics #PowerBI #DataEngineering #MicrosoftLearn 👤Hosted by Mehrdad Abdollahi ☕ watch?v=lqi1YjkAIRE
