Overview
Stream processing is a method of handling data in real-time as it flows into a system. Unlike traditional batch processing, which collects data over time, stream processing allows for immediate analysis and action. This is crucial for applications like fraud detection, real-time analytics, and monitoring systems. In this topic, students will learn the basics of stream processing, its importance, and how it differs from other data processing methods.
📚 Key Learning Objectives
- ✓ Define stream processing and its key concepts.
- ✓ Identify use cases for stream processing in real-time applications.
- ✓ Compare stream processing with batch processing.
- ✓ Explain the architecture of a typical stream processing system.
- ✓ Demonstrate a simple stream processing task using a relevant tool.
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