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Data integrity and Error detection and correction

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Data integrity and Error detection and correction

Data integrity vs. Error detection and correction

Data integrity is the maintenance of, and the assurance of the accuracy and consistency of, data over its entire life-cycle, and is a critical aspect to the design, implementation and usage of any system which stores, processes, or retrieves data. In information theory and coding theory with applications in computer science and telecommunication, error detection and correction or error control are techniques that enable reliable delivery of digital data over unreliable communication channels.

Similarities between Data integrity and Error detection and correction

Data integrity and Error detection and correction have 8 things in common (in Unionpedia): Btrfs, Checksum, Damm algorithm, Forward error correction, Hash function, Luhn algorithm, RAID, ZFS.

Btrfs

Btrfs (pronounced as "butter fuss", "better F S", "butter F S", "b-tree F S", or simply by spelling it out) is a file system based on the copy-on-write (COW) principle, initially designed at Oracle Corporation for use in Linux.

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Checksum

A checksum is a small-sized datum derived from a block of digital data for the purpose of detecting errors which may have been introduced during its transmission or storage.

Checksum and Data integrity · Checksum and Error detection and correction · See more »

Damm algorithm

In error detection, the Damm algorithm is a check digit algorithm that detects all single-digit errors and all adjacent transposition errors.

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Forward error correction

In telecommunication, information theory, and coding theory, forward error correction (FEC) or channel coding is a technique used for controlling errors in data transmission over unreliable or noisy communication channels.

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Hash function

A hash function is any function that can be used to map data of arbitrary size to data of a fixed size.

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Luhn algorithm

The Luhn algorithm or Luhn formula, also known as the "modulus 10" or "mod 10" algorithm, is a simple checksum formula used to validate a variety of identification numbers, such as credit card numbers, IMEI numbers, National Provider Identifier numbers in the United States, Canadian Social Insurance Numbers, Israel ID Numbers and Greek Social Security Numbers (ΑΜΚΑ).

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RAID

RAID (Redundant Array of Independent Disks, originally Redundant Array of Inexpensive Disks) is a data storage virtualization technology that combines multiple physical disk drive components into one or more logical units for the purposes of data redundancy, performance improvement, or both.

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ZFS

ZFS is a combined file system and logical volume manager designed by Sun Microsystems and now owned by Oracle Corporation.

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The list above answers the following questions

Data integrity and Error detection and correction Comparison

Data integrity has 58 relations, while Error detection and correction has 141. As they have in common 8, the Jaccard index is 4.02% = 8 / (58 + 141).

References

This article shows the relationship between Data integrity and Error detection and correction. To access each article from which the information was extracted, please visit:

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