Abstract
In the realm of cloud computing, the management of data redundancy, often referred to as duplicate data, poses a significant challenge due to its implications on storage efficiency, data integrity, and overall system performance. This study provides a comprehensive review of the current strategies employed to detect, manage, and eliminate duplicate data in cloud environments. Duplicate and nearly duplicate web pages cause major issues for web search engines. Duplicate document identification, or the process of finding document pairs that represent the same entity, is a basic component of data cleansing. In order to address the structural heterogeneity issue, data must first undergo a data preparation step that involves parsing, data transformation, and data standardization. The findings aim to aid cloud service providers and users in understanding the importance of effective data deduplication strategies to optimize storage resources and enhance cloud computing performance.
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