In the MapReduce framework, how is data locality achieved during processing?
- Data Replication
- Network Optimization
- Node Proximity
- Task Scheduling
Data locality in MapReduce is achieved through node proximity. The framework schedules tasks to nodes where the data is already stored, minimizing data transfer over the network. This strategy enhances performance by reducing data movement and leveraging the proximity of computation and data.
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