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Answer: Removing Duplicate Records
In a distributed computing system, data deduplication primarily involves the process of identifying and removing duplicate records or instances within a dataset. This technique is crucial for reducing storage requirements and enhancing efficiency by eliminating redundant data copies. It is especially beneficial in environments where data is spread across multiple nodes or storage locations, and duplicates may exist. Unlike data compression or encryption, which serve different purposes, data deduplication specifically targets the elimination of duplicate records to optimize storage and processing efficiency.
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