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Data reduction technologies play a critical role in environments to help reduce the amount of physical storage that is needed to save a dataset. Reducing the amount of data storage that is required not only reduces the number of drives that are required, it also reduces the physical footprint of the solution. This ability helps reduce the total cost of ownership of the storage system. With Dell PowerStore, data efficiency techniques such as pattern matching, deduplication, and compression help to reduce the amount of data that is physically stored within the system. These data efficiency methods are always on, and their data reduction achievements can be viewed within various resources of the system.
This white paper discusses the data efficiency techniques and includes technical information about the data path through the system and the underlying efficiency technologies. Data efficiency savings and reporting is also discussed.