Go Real-Time with Microsoft Fabric (What to Build First)

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📅 December 24 · 7 PM IST – Set Reminder ▶️

Modern organizations increasingly rely on real-time data to monitor operations, detect issues, and trigger instant actions. From streaming events to live dashboards and automated responses, Microsoft’s real-time analytics capabilities enable teams to move from reactive reporting to proactive decision-making.

This session explores how event-driven analytics components work together to ingest, analyze, visualize, and act on streaming data in real time. Participants will gain a clear understanding of how these building blocks fit into modern analytics and operational intelligence scenarios.

Led by Ranjith Kumar, Corporate Trainer, this session focuses on practical concepts and real-world relevance for professionals working with streaming data and real-time analytics platforms.

🔍 What you’ll learn:
1. Eventhouse — Centralized Streaming Analytics Hub

What Eventhouse is and why it matters for real-time analytics.

Managing high-volume streaming events in a unified environment.

Supporting scalable and reliable analytics workflows.

2. KQL Queryset for Real-Time Scenarios

Designing and executing KQL (Kusto Query Language) queries.

Optimizing queries for performance and accuracy.

Analyzing streaming data as it arrives.

3. Real-Time Dashboards

Building dashboards for live monitoring and instant insights.

Visualizing streaming data as it changes in real time.

Supporting operational awareness and faster decisions.

4. Eventstream — Ingestion and Transformation

Ingesting events from multiple sources.

Routing and transforming event data in real time.

Preparing streaming data for analytics and visualization.

5. Activator — Event-Driven Automation

Understanding Activator and event-based triggers.

Automating actions and workflows from real-time signals.

Moving from insight to action without manual intervention.

6. End-to-End Real-Time Analytics Flow

How Eventhouse, KQL, dashboards, Eventstream, and Activator work together.

Designing responsive, event-driven analytics solutions.

Real-world use cases across monitoring, alerts, and automation.

7. Live Q&A and Practical Guidance

Clarifying real-time analytics concepts and tools.

Guidance on applying these capabilities in real projects.

🎯 Who should attend?

Data and analytics professionals

Streaming and real-time analytics enthusiasts

Cloud and platform engineers

Anyone interested in event-driven data solutions

Speaker:
Ranjith Kumar
Corporate Trainer | Koenig Solutions Pvt. Ltd.

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⚡ If you want to understand how real-time data turns into instant insights and automated actions, this session gives you a clear, connected view of modern event-driven analytics.
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