Overview
Stream processing is a method of handling data in real-time as it flows into a system. Unlike traditional batch processing, which waits for all data to be collected before processing, stream processing allows for immediate analysis and action. This is essential for applications like online fraud detection, live data monitoring, and real-time analytics. Understanding stream processing helps you build systems that can respond quickly to changing data.
📚 Key Learning Objectives
- ✓ Define stream processing and its importance.
- ✓ Identify key components of stream processing systems.
- ✓ Explain the differences between stream and batch processing.
- ✓ Implement a simple stream processing application.
- ✓ Analyze real-time data using stream processing tools.
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