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System Design
ByteByteGo·26d ago·5 min read
Streaming vs Batch: Two Philosophies of Data Processing
✦ Why It Matters
Choose between batch and streaming processing based on your application's need for speed versus accuracy in data handling.
Key Takeaways
- Choose batch processing for complete data sets and accuracy.
- Opt for streaming when low latency is critical.
- Implement lambda architecture for flexibility in data processing.
- Understand windowing techniques to manage streaming data effectively.
How It Works
Batch processing collects data until a defined boundary is reached, allowing for comprehensive analysis. Streaming, on the other hand, uses techniques like tumbling and sliding windows to process data in real-time, estimating when enough data has arrived to produce results.