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🎯 The Problem: Your batch ETL runs overnight. But production issues happen at 2 PM. By the time you see them in your dashboard, it's already too late. Sound familiar?
💡 This Evening: We'll build a complete real-time pipeline from scratch - from event ingestion to live dashboards. No Kafka expertise required. Fabric handles the complexity.
⏱ Save yourself: Months of learning Azure Data Explorer, Event Hubs, and Kafka. Real-Time Intelligence brings it all together in one place.
What you'll learn:
🏠 Eventhouse - The real-time data store optimized for time-series, and WHY Eventhouse uses Kusto under the hood (Azure Data Explorer heritage)
🌊 Eventstreams - No-code streaming pipelines, and WHY Eventstreams abstract away Kafka complexity
📊 KQL Database - Time-series and log analytics at scale, and WHY KQL outperforms SQL for time-based queries
🔍 KQL Querysets - Mastering Kusto Query Language, and WHY KQL syntax is different from SQL (but easier for time-series)
End-to-End Demo: IoT Device → Event Hub → Eventstream → Eventhouse → Real-Time Dashboard → Data Activator (Alerts)
Who should attend: IoT developers building sensor analytics, DevOps engineers analyzing logs, Analysts working with time-series data
Agenda:

  • 18:30 - Welcome & Networking
  • 18:45 - Eventhouse & KQL Fundamentals
  • 19:10 - Eventstreams - Building the Pipeline
  • 19:30 - Live Demo: IoT to Dashboard
  • 19:50 - KQL Tips & Tricks
  • 19:55 - Q&A and Discussion
  • 20:00 - Networking

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