The term “data deduplication”, 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 deduplication 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. Read this white paper from Quantum Corporation to learn more about data deduplication today.