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Introduction to Real-Time Data Processing

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The lesson introduces real-time data processing, comparing batch processing with streaming scenarios. It explains the Lambda architecture which creates separate pathways for batch and streaming data, using a sailing race dashboard example that combines real-time GPS tracking with historical race position calculations.

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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