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Unnormalization in a database refers to the process of intentionally introducing redundancy into a database design to improve query performance and reduce the complexity of data retrieval. While normalization aims to minimize data redundancy and ensure data integrity by organizing data into related tables, unnormalization can lead to faster read operations by consolidating data into fewer tables. This approach may increase the risk of data anomalies and require more careful management of data consistency. It is often used in data warehousing and reporting scenarios where read performance is prioritized over write efficiency.

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