misspelledsearch.com:

data warehousing technology

information page

If you cannot find the information you are searching for on this page, we suggest searching Google with the correct spelling "data warehousing technology":

Google

For other senses of this word, see data (disambiguation).

Data is the plural of datum. A datum is a statement accepted at face value (a "given"). A large class of practically important statements are measurements or observations of a variable. Such statements may comprise numbers, words, or images.

Contents

  • 1 Etymology
  • 2 Usage in English
  • 3 Uses of data in computing
  • 4 Meaning of data, information and knowledge
  • 5 See also
  • 6 References

Etymology

The word data is the plural of Latin datum, neuter past participle of dare, "to give", hence "something given". The past participle of "to give" has been used for millennia, in the sense of a statement accepted at face value; one of the works of Euclid, circa 300 BC, was the Dedomena (in Latin, Data). In discussions of problems in geometry, mathematics, engineering, and so on, the terms givens and data are used interchangeably. Such usage is the origin of data as a concept in computer science: data are numbers, words, images, etc., accepted as they stand.

Usage in English

In English, the word datum is still used in the general sense of "something given", and more specifically in cartography, geography, geology, and drafting to mean a reference point, reference line, or reference surface. The Latin plural data is also used as a plural in English, but it is also commonly treated as a mass noun and used in the singular. For example, "This is all the data from the experiment". This usage is inconsistent with the rules of Latin grammar, which would suggest, "These are the data ..."; each measurement or result is a single datum. However, given the variety and irregularity of English plural constructions, there seem to be no grounds for arguing that data is incorrect as a singular mass noun in English.

Uses of data in computing

Main article: Data (computing)

Raw data are numbers, characters, images or other outputs from devices to convert physical quantities into symbols, in a very broad sense. Such data are typically further processed by a human or input into a computer, stored and processed there, or transmitted (output) to another human or computer. Raw data is a relative term; data processing commonly occurs by stages, and the "processed data" from one stage may be considered the "raw data" of the next.

Mechanical computing devices are classified according to the means by which they represent data. An analog computer represents a datum as a voltage, distance, position, or other physical quantity. A digital computer represents a datum as a sequence of symbols drawn from a fixed alphabet. The most common digital computers use a binary alphabet, that is, an alphabet of two characters, typically denoted "0" and "1". More familiar representations, such as numbers or letters, are then constructed from the binary alphabet.

Some special forms of data are distinguished. A computer program is a collection of data, which can be interpreted as instructions. Most computer languages make a distinction between programs and the other data on which programs operate, but in some languages, notably Lisp and similar languages, programs are essentially indistinguishable from other data. It is also useful to distinguish metadata, that is, a description of other data. A similar, earlier term for metadata is "ancillary data." The prototypical example of metadata is the library catalog, which is a description of the contents of books.

Meaning of data, information and knowledge

The terms information and knowledge are frequently used for overlapping concepts. These three concepts are ill or ambiguously defined in the subject matter literature . However, In recent interdisciplinary research a few independent specializations of these terms have been proposed.

See Information: Information is not data for the commonly made distinction between information and data.

See also

  • Data management
  • Data mining
  • Data modeling
  • Data processing
  • Data recovery
  • Data remanence and data destruction techniques
  • Data warehouse
  • Database
  • Datasheet
  • Data (Star Trek)
  • Statistics
  • Metadata

References

This article was originally based on material from the Free On-line Dictionary of Computing, which is licensed under the GFDL.
  • http://www.answers.com/topic/data - discussion of the correctness of using data as a singular or plural ("data is" or "data are")

This data warehousing technology index site has been developed to help wayward users find the information they are looking for, no matter how they are mistakenly spelled or mistyped. This site is designed to help users find data warehousing technology information for the following query variants:

data warehousing data warehousing technoogy data warehousing technolgy data warehousing technoloy
data warehousing technologie data warehousing technorogie data warehousing tchnology data warehousing tehnology
data warehousing tecnology data warehousing techology data warehousing technlogy data warehousing technologi
data warehousing technorogy data warehousing technorogi data warehousing technoiogy data warehousing techmology
data warehousing technoloyg data warehousing technolgoy data warehousing technoolgy data warehousing technloogy
data warehousing techonlogy data warehousing tecnhology data warehousing tehcnology data warehousing tcehnology
data warehousing etchnology data warehousing technolog data warehousing echnology data technology
data warehiucint technology data wharehoseigng technology data warehoocint technology data walehouceigng technology
data warehucing technology data walehooseigng technology data wrehousing technology data wharehousiegng technology
data walehusiegng technology data walehosiegng technology data wharehiucing technology data wharehooseigng technology
data wharehoocing technology data warehouceignt technology data warehoucint technology data warehooseignt technology
data waehousing technology data warehouseigng technology data whalehousiegng technology data warehusiegnt technology
data warehosiegnt technology data walehiucing technology data wharehiuseigng technology data walehoucing technology
data warehoceigng technology data warehocint technology data warehiuseigng technology data warhousing technology
data walehouseigng technology data wharehousiegnt technology data warehouciegng technology data warehoosiegng technology
data wharehuseigng technology data walehocing technology data warehooceigng technology data warehucint technology
data walehiuseigng technology data wareousing technology data warehouseignt technology data wharehosiegng technology
data walehouciegng technology data walehoosiegng technology data wharehouceigng technology data walehucing technology
data warehiuceigng technology data wharehoucing technology data warehiuseignt technology data warehouing technology
data walehouseignt technology data wharehoosiegng technology data warehouciegnt technology data warehoosiegnt technology
data warehousiegng technology data walehoucint technology data warehuceigng technology data wharehocing technology
data warehuseigng technology data warehousng technology data warehoseigng technology data wharehiusiegng technology
data warehociegng technology data warehiusiegng technology data walehousiegng technology data whalehoucing technology
data wharehouseigng technology data wharehucing technology data walehuseigng technology data warehousig technology
data walehoseigng technology data wharehusiegng technology data warehoociegng technology data walehiusiegng technology
data warehousiegnt technology data walehoocing technology data whalehouseigng technology data wharehoucint technology
data warehuseignt technology data warehoucing technology data warehoseignt technology data wharehouciegng technology
data warehiuciegng technology data warehiusiegnt technology data walehousiegnt technology data warehiucing technology
data wharehouseignt technology data warehoocing technology data warehouceigng technology data warehocing technology
data warehooseigng technology data warehuciegng technology data warehusiegng technology data warehosiegng technology
data whalehiusing technology data walehoosing technology data walehosing technology data wharehusing technology
data walehoosint technology data walehusing technology data wharehousint technology data whalehoosing technology
data walehousint technology data wharehosint technology data warehosing technology data warehiusing technology
data walehosint technology data wharehusint technology data warehusing technology data warehiusint technology
data walehusint technology data warehoosing technology data warehousint technology data wharehiusing technology
data whalehousing technology data warehoosint technology data warehosint technology data wharehiusint technology
data whalehosing technology data wharehoosing technology data warehusint technology data walehiusing technology
data whalehusing technology data wharehoosint technology data wharehousing technology data walehiusint technology
data whalehousint technology data walehousing technology data wharehosing technology data warehouslng technology
data warehousimg technology data warehousign technology data warehousnig technology data warehouisng technology
data warehosuing technology data warehuosing technology data wareohusing technology data warheousing technology
data waerhousing technology data wraehousing technology data awrehousing technology data warehousin technology
data arehousing technology warehousing technology dat warehousing technology ata warehousing technology
daat warehousing technology dtaa warehousing technology adta warehousing technology daa warehousing technology
dta warehousing technology

If you would like to add or correct the content of this site, or if you are interested in supporting the efforts of misspelledsearch.com by placing your product information on these data warehousing technology pages, please contact mistype@gmail.com for details.

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "data".