Data reduction is the process of minimizing the amount of data that needs to be stored in a data storage environment. Data reduction can increase storage efficiency and reduce costs.
Data reduction can be achieved using several different types of technologies. The best-known, data deduplication, eliminates redundant data on storage systems.
Data archiving and data compression can also reduce the amount of data needed to be stored on primary storage systems. Data archiving works by filing infrequently accessed data to secondary data storage systems. Data compression reduces the size of a file by removing redundant information from files so that less disk space is required.
Are data reduction techniques essential in VDI environment?