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Data Deduplication Approaches - Concepts, Strategies, and Challenges (Paperback)
Loot Price: R3,931
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Data Deduplication Approaches - Concepts, Strategies, and Challenges (Paperback)
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In the age of data science, the rapidly increasing amount of data
is a major concern in numerous applications of computing operations
and data storage. Duplicated data or redundant data is a main
challenge in the field of data science research. Data Deduplication
Approaches: Concepts, Strategies, and Challenges shows readers the
various methods that can be used to eliminate multiple copies of
the same files as well as duplicated segments or chunks of data
within the associated files. Due to ever-increasing data
duplication, its deduplication has become an especially useful
field of research for storage environments, in particular
persistent data storage. Data Deduplication Approaches provides
readers with an overview of the concepts and background of data
deduplication approaches, then proceeds to demonstrate in technical
detail the strategies and challenges of real-time implementations
of handling big data, data science, data backup, and recovery. The
book also includes future research directions, case studies, and
real-world applications of data deduplication, focusing on reduced
storage, backup, recovery, and reliability.
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