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In computing, data deduplication is a technique for eliminating duplicate copies of repeating data. Successful implementation of the technique can improve storage utilization, which may in turn lower capital expenditure by reducing the overall amount of storage media required to meet storage capacity needs.
The term deduplication refers generally to eliminating duplicate or redundant information. Data deduplication , in computer storage, refers to the elimination of redundant data Record linkage , in databases, refers to the task of finding entries that refer to the same entity in two or more files
Since Windows Server 2012, there is a new chunk-based data deduplication mechanism (tag 0x80000013) that allows files with similar content to be deduplicated as long as they have stretches of identical data. [2] This mechanism is more powerful than SIS. [14] Since Windows Server 2019, the feature is fully supported on ReFS. [15]
It is a means to eliminate data duplication and to increase efficiency. SIS is frequently implemented in file systems, e-mail server software, data backup, and other storage-related computer software. Single-instance storage is a simple variant of data deduplication. While data deduplication may work at a segment or sub-block level, single ...
Data management — all the disciplines related to managing data as a valuable resource ... Data deduplication; Data definition specification; Data dictionary; Data ...
Data cleaning is the process of preventing and correcting these errors. Common tasks include record matching, identifying inaccuracy of data, overall quality of existing data, deduplication, and column segmentation. [23] Such data problems can also be identified through a variety of analytical techniques.
Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points. This process condenses extensive ...
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).