How does data partitioning contribute to efficient data loading?
- Data compression and decompression
- Data encryption and security
- Data redundancy and duplication
- Parallelism and scalability
Data partitioning allows for parallel loading of data, enhancing scalability and performance by distributing the workload across multiple partitions or nodes. It enables efficient processing of large datasets.
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