🌊 Intermediate Stream Analytics Tutorial¶
Master Azure Stream Analytics for real-time data processing. Learn windowing functions, complex joins, pattern detection, and output optimization.
🎯 Learning Objectives¶
- ✅ Implement windowing functions for time-based aggregations
- ✅ Perform stream joins with reference and streaming data
- ✅ Detect patterns using temporal operators
- ✅ Optimize outputs for different sinks
- ✅ Handle late-arriving and out-of-order events
📋 Prerequisites¶
- Understanding of streaming concepts
- Azure Event Hubs or IoT Hub setup
- Basic Stream Analytics query language
- Synapse workspace configured
🚀 Tutorial Modules¶
[Content covering windowing techniques, join patterns, pattern matching, output strategies, watermark handling, and monitoring streaming jobs]
Last Updated: January 2025