To handle large datasets efficiently, MapReduce uses ____ to split the data into manageable pieces for the Mapper.
- Data Partitioning
- Data Segmentation
- Data Shuffling
- Input Split
In MapReduce, the process of breaking down large datasets into smaller, manageable chunks for individual mappers is called Input Splitting. These splits are then processed in parallel by the Mapper tasks to achieve distributed computing and efficient data processing.
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