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eurovoc (pub)
{
"inScheme": [
100141,
100222
],
"prefLabel": {
"en": "big data",
"fr": "mégadonnées"
},
"altLabel": {
"fr": [
"données massives",
"données de masse",
"technologie de mégadonnées",
"grand ensemble de données",
"analyse de mégadonnées"
],
"en": [
"big data technology",
"big data analytics",
"mass data",
"large data set"
]
},
"definition": {
"en": "Data sets so large and complex that they are difficult to process using traditional ICT applications. Most definitions describe big data as being large (i.e. they have ‘volume’); heterogeneous (i.e. they come from different sources in a ‘variety’ of different forms); and collected or analysed in near real time (i.e. they exhibit high ‘velocity’). Some definitions also emphasise the need for data to be trustworthy (i.e. they must demonstrate ‘veracity’). Source: EPRS, European Parliament Research Service (September 2016), <a href=\"http://www.europarl.europa.eu/RegData/etudes/BRIE/2016/589801/EPRS_BRI(2016)589801_EN.pdf\" target=\"new\">Big data and data analytics</a> (Accessed: 20.07.2017).\n",
"fr": "Ensemble de données si volumineux et complexes qu’ils sont difficiles à traiter à l’aide d’applications traditionnelles de TIC. La plupart des définitions décrivent les mégadonnées comme volumineuses (elles présentent de grands «volumes»); Hétérogènes (elles proviennent de sources différentes et sous une «variété» de formes); et collectées ou analysées en temps quasi réel (c’est-à-dire qu’elles affichent une grande «vélocité»). Certaines définitions soulignent également la nécessité de données fiables (elles doivent attester leur «véracité»).\n"
},
"broader": [
2472
],
"related": [
4488,
2629,
"c_6f7bbe63"
],
"notation": [
"c_bf1e2c81"
]
}