Data partitioning is the technique of dividing a dataset into distinct parts or subsets to enhance processing efficiency and optimize performance in computational tasks. By distributing data across multiple storage locations or processing units, this method allows for better resource utilization, improved parallelism, and reduced latency, leading to faster data retrieval and analysis.
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