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Real-Time Processing Architecture Summary

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The lesson summarizes the typical real-time architecture using Event Hubs for ingestion, Stream Analytics for processing, and outputs including data lakes, databases, and Power BI. Students complete a hands-on lab.

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Previous Module Azure Synapse Link
This Module Stream Processing with Azure Stream Analytics
Introduction to Real-Time Data Processing
Introduction to Real-Time Data Processing
Azure Event Hubs
Azure Event Hubs
Demo: Event Hub Setup and Race Simulator
Demo: Event Hub Setup and Race Simulator
Demo: Running the Stream Analytics Pipeline
Demo: Running the Stream Analytics Pipeline
Stream Analytics Outputs and Windowing Basics
Stream Analytics Outputs and Windowing Basics
Advanced Windowing Functions
Advanced Windowing Functions
Real-Time Processing Architecture Summary
Real-Time Processing Architecture Summary
Next Module Stream Processing with Event Hubs and Databricks