How does data partitioning affect the efficiency of data loading processes?
- Decreases efficiency by introducing bottlenecks
- Depends on the size of the dataset
- Has no impact on efficiency
- Improves efficiency by reducing parallel processing
Data partitioning improves the efficiency of data loading processes by allowing parallel processing. It divides the data into smaller, manageable partitions, enabling multiple tasks to process concurrently, leading to faster data loading.
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