A Study the review of Duplicate Data in Cloud Computing

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Published: Mar 1, 2024
DOI: https://doi.org/10.29070/nsek7b45
Keywords:
Cloud, Duplicate, Data, ETL, Data Cleaning, Documents

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Authors

Krishna Kant Tiwari

Research Scholar, Shri Krishna University, Chhatarpur, Madhya Pradesh, India

Dr. Qaim Mehdi Rizbi

Associate Professor, Department of Computer Science & Application, Shri Krishna University, Chhatarpur, Madhya Pradesh, India

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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Article Details

Issue

Vol. 21 No. 1 (2024): Journal of Advances in Science and Technology (JAST)

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Articles

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