What is a key characteristic of batch processing in Hadoop?
- High Throughput
- Incremental Processing
- Low Latency
- Real-time Interaction
A key characteristic of batch processing in Hadoop is high throughput. Batch processing is designed for processing large volumes of data at once, optimizing for efficiency and throughput rather than real-time response. It is suitable for tasks that can tolerate some delay in processing.
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