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Published on: June 2008
Type of content: WHITE PAPER
Format: Adobe Acrobat (.pdf)
Length: 13 pages
Price: FREE

Overview:
The term "data de-duplication", as it is used and implemented by Quantum Corporation in this white paper, refers to a specific approach to data reduction built on a methodology that systematically substitutes reference pointers for redundant variable-length blocks (or data segments) in a specific dataset. The purpose of data de-duplication is to increase the amount of information that can be stored on disk arrays and to increase the effective amount of data that can be transmitted over networks. When it is based on variable-length data segments, data de-duplication has the capability of providing greater granularity than single-instance store technologies that identify and eliminate the need to store repeated instances of identical whole files.