Data Deduplication Techniques for Efficient Storage Management

Data deduplication is now a vital remedy for the problems brought on by the exponential growth of digital data. This method successfully minimizes storage demands, improves system efficiency, and lowers infrastructure costs by locating and eliminating redundant information. The fundamental ideas, procedures, and categories of deduplication—such as file-level, block-level, and chunk-based approaches—as well as their uses in diverse industries are examined in this study. It also highlights upcoming trends, such as developments driven by artificial intelligence (AI), while addressing issues like processor overhead and data fragmentation. The results demonstrate the importance of deduplication in contemporary storage systems and the room for advancement in meeting rising demands.