Data reduction

Process used to reduce the amount of data that needs to be stored, processed, or analyzed while maintaining its integrity and usefulness. Techniques include data compression, data aggregation, data sampling, dimensionality reduction, and data filtering, which are essential in managing large datasets efficiently. Data reduction is particularly beneficial for fields like big data, machine learning, and data mining, where handling vast amounts of information is crucial.