Lab 9: Microsoft Fabric Real-Time Intelligence (RTI) Tutorial

📖 Official Tutorial Reference

For this lab, we recommend following the official Microsoft Learn tutorial series:

Real-Time Intelligence Tutorial: Introduction

📋 Tutorial Overview

The Microsoft Learn tutorial provides a comprehensive, hands-on introduction to Real-Time Intelligence in Microsoft Fabric. It uses a practical scenario with bicycle data to demonstrate key concepts and features.

🎯 What You’ll Learn

The tutorial covers the complete Real-Time Intelligence workflow:

• Set up your environment - Configure your Fabric workspace and RTI resources
• Get data in the Real-Time hub - Connect to data sources and understand data ingestion
• Transform events - Process and transform streaming data in real-time
• Publish an eventstream - Create and manage event streams for data flow
• Subscribe to Fabric Events - Set up event-driven architectures
• Use update policies to transform data in Eventhouse - Implement automated data transformations
• Use Copilot to create a KQL query - Leverage AI assistance for query creation
• Create a KQL query - Write custom Kusto Query Language (KQL) queries
• Create an alert based on a KQL query - Set up monitoring and alerting
• Create a Real-Time dashboard - Build interactive dashboards for data visualization
• Explore data visually in the Real-Time dashboard - Use visual exploration tools
• Create a Power BI report from a KQL query - Integrate with Power BI for advanced reporting
• Set an alert on the eventstream - Configure stream-level monitoring

🚲 Sample Scenario

The tutorial uses bicycle data as the sample dataset, containing:

• Bike ID information
• Location data (GPS coordinates)
• Timestamp information
• Additional telemetry metrics

This scenario demonstrates how to extract insights from streaming IoT data, making it highly relevant for real-world applications.

🔄 Comparison with Azure Stream Analytics

📋 Prerequisites

To complete the tutorial, you need:

• A Microsoft Fabric workspace with Premium capacity or trial
• Basic understanding of streaming data concepts
• Familiarity with Azure Stream Analytics (from previous labs) will be helpful

🏗️ Key Architecture Components

The tutorial demonstrates this data flow:

[Data Source] → [Real-Time Hub] → [Event Stream] → [Eventhouse/KQL Database] → [Real-Time Dashboard]
                       ↓                ↓                    ↓                      ↓
                [Data Discovery]  [Transform Events]  [KQL Queries & Alerts]  [Power BI Integration]

💡 Key Benefits of Following the Official Tutorial

1. Up-to-date Content: Always reflects the latest Fabric RTI features and capabilities
2. Interactive Experience: Hands-on exercises with real data
3. Best Practices: Incorporates Microsoft’s recommended approaches
4. Comprehensive Coverage: Covers the entire RTI workflow end-to-end
5. AI Integration: Demonstrates Copilot features for query assistance
6. Visual Learning: Rich screenshots and step-by-step guidance

🚀 Getting Started

1. Access the Tutorial: Navigate to the tutorial introduction page
2. Follow Sequential Parts: The tutorial is divided into multiple parts - complete them in order
3. Adapt to Your Data: After completing the bicycle scenario, apply the concepts to your IoT telemetry data
4. Explore Advanced Features: Use the tutorial as a foundation to explore additional RTI capabilities

📈 Migration Considerations

If you’re migrating from Azure Stream Analytics to Fabric RTI, the tutorial will help you understand:

• Query Language Differences: How KQL compares to SAQL
• Architecture Changes: Moving from pass-through processing to stored analytics
• New Capabilities: Features not available in Stream Analytics
• Integration Benefits: Unified analytics platform advantages

🔗 Next Steps

Continue to Lab 10: IoT Edge Overview to learn about edge computing scenarios and bringing analytics closer to your IoT devices.