Real-Time Data Project Using Microsoft Fabric | Eventstream, KQL, Activator & Live Dashboards!

[NextGendata]

Hey Fabric folks 👋

I just published a hands-on video covering real time intelligence key concepts with an end-to-end real-time intelligence project in Microsoft Fabric, and I wanted to share it with the community. Whether you're learning Fabric, exploring real-time analytics, or building solutions for business monitoring—this demo might give you a great hands-on perspective.

📹 Watch the full video here:
▶️ Real-Time Data Project in Microsoft Fabric (YouTube)

🔍 Key Concepts Covered:

• Setting up Eventstream, Eventhouse in Microsoft Fabric

• Real time intelligence key concepts - What is Kusto, KQL DB, KQL Vs SQL

• Transforming data using KQL (Kusto Query Language), Update Policy, Function & Materialized View

• Using Data Activator to trigger alerts/actions

• Building live real time dashboards in Fabric

💡 This video shows how real-time data can be turned into actionable insights—perfect for operations monitoring, IoT, retail analytics, or logistics use cases.

Would love to hear your feedback and ideas for what you'd like to see next in Fabric? Let me know! Happy to learn and share 🙂

[suparnababu8 · Accepted solution]

Hi @NextGendata 

Just now, I wathced this video, and I must say, it was an excellent demonstration of Microsoft Fabric's real-time intelligence capabilities. The way you meticulously broke down concepts like Lambda Architecture, Medallion Architecture, KQL, and EventStream was truly insightful. The integration of Fabric Real-Time Hub, Eventhouse, and the Activator feature for real-time alerts was explained with great clarity.

Your step-by-step approach made it easy to grasp the intricaacies of building an end-to-end data engineering project. The practical implementation of Bronze, Silver, and Gold layers in the Medallion Architecture was particularly fascinating. The real-time dashboard showcased the true potential of this unified SaaS data platform, making it incredibly useful for data engineers, analysts, and business users alike.

A phenomenal tutorial—comprehensive, engaging, and well-structured! Looking forward to more such enlightening content. 

Thanks for sharing this great videon with community.

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