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What are the key differences between batch and streaming processing architectures?
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Batch processing operates on bounded datasets with scheduled intervals, optimized for high throughput and cost efficiency. Streaming processing handles unbounded data in real-time with low latency, using windowing and watermarks. Batch is ideal for analytics and ML training; streaming suits real-time dashboards and fraud detection.
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