{"id":8579,"date":"2020-03-16T13:28:26","date_gmt":"2020-03-16T16:28:26","guid":{"rendered":"https:\/\/www.mjvinnovation.com\/blog\/quelle-difference-entre-big-data-data-mining-et-data-warehouse\/"},"modified":"2020-03-16T13:28:26","modified_gmt":"2020-03-16T16:28:26","slug":"quelle-difference-entre-big-data-data-mining-et-data-warehouse","status":"publish","type":"post","link":"https:\/\/www.mjvinnovation.com\/fr\/blog\/quelle-difference-entre-big-data-data-mining-et-data-warehouse\/","title":{"rendered":"Quelle diff\u00e9rence entre Big Data, Data Mining et Data Warehouse?"},"content":{"rendered":"

\u00ab\u00a0\u00c0 la vitesse \u00e0 laquelle apparaissent les innovations en TI, il est normal de confondre quelques concepts\u00a0\u00bb, explique Jorge Mendes, directeur de Business Intelligence de la MJV Tecnologia & Inova\u00e7\u00e3o.<\/span><\/p>\n

Ci-dessous, d\u00e9couvrez la diff\u00e9rence entre Big Data, Data Mining et Data Warehouse :<\/span><\/p>\n

Qu\u2019est-ce que le Big Data?<\/b><\/h2>\n

On appelle Big Data l\u2019immense quantit\u00e9 de donn\u00e9es non structur\u00e9es que le monde produit actuellement. Le terme a surgi en l\u2019an 2000, lorsque la virtualisation et l\u2019acc\u00e8s \u00e0 la technologie prirent une grande ampleur. Selon le\u00a0<\/span>Gartner Group<\/span><\/a>, sont produits quotidiennement 15 p\u00e9tabytes de donn\u00e9es structur\u00e9es et non structur\u00e9es \u2013 vid\u00e9os, textes, audios, images, r\u00e9seaux sociaux, etc.<\/span><\/p>\n

L\u2019entreprise de consultance IDC pense que les entreprises br\u00e9siliennes ont d\u00e9plac\u00e9 pr\u00e8s de US$ 426 millions au\u00a0 Br\u00e9sil en 2014, pour stocker, traiter et analyser ces informations.<\/span><\/p>\n

\u00ab\u00a0Pour comprendre comment le Big Data peut \u00eatre utilis\u00e9 pour la gestion intelligente, voyez le film <\/span>Le Stat\u00e8ge<\/span><\/i>\u00a0(<\/span>Moneyball)<\/span><\/i>, avec Brad Pitt. Il s\u2019agit de l\u2019histoire d\u2019un entraineur qui, face au d\u00e9fi de diriger une \u00e9quipe de baseball \u00e0 petit budget, utilise l\u2019analyse de donn\u00e9es pour am\u00e9liorer les performances de ses joueurs\u00a0\u00bb, recommande Jorge.<\/span><\/p>\n

Brad Pitt, dans \u00ab\u00a0Moneyball\u00a0\u00bb (USA, 2011) : l\u2019analyse de donn\u00e9es pour am\u00e9liorer les performances de l\u2019\u00e9quipe<\/span><\/i><\/p>\n

Qu\u2019est-ce que le Data Mining?<\/b><\/h2>\n

La traduction de cette expression, en anglais, est extraction de donn\u00e9es. Le terme consiste \u00e0 utiliser des processus pour explorer de grandes quantit\u00e9s de donn\u00e9es num\u00e9riques \u00e0 la recherche de mod\u00e8les coh\u00e9rents, tels que des r\u00e8gles d’association ou des s\u00e9quences temporelles, avec l\u2019objectif de d\u00e9couvrir des relations syst\u00e9matiques entre les variables, en d\u00e9tectant ainsi de nouveaux sous-ensembles de donn\u00e9es.<\/span><\/p>\n

Selon Jorge, \u00ab si le Big Data est le concept de l’explosion de donn\u00e9es, le Data Mining est la fa\u00e7on dont nous traitons ces donn\u00e9es, en cr\u00e9ant des processus et des param\u00e8tres pour mieux les interpr\u00e9ter. Ce sont des techniques de r\u00e9cup\u00e9ration d’informations, de reconnaissance de normes statistiques et d\u2019outils d\u2019intelligence artificielle, qui permettent le traitement strat\u00e9gique des informations\u00a0\u00bb.<\/span><\/p>\n

Qu\u2019est-ce que le Data Warehouse?<\/b><\/h2>\n

De son c\u00f4t\u00e9, le Data Warehouse, que nous pouvons traduire par Entrep\u00f4t de Donn\u00e9es, est, fondamentalement, un d\u00e9p\u00f4t de donn\u00e9es num\u00e9riques pour stocker des informations corporatives d\u00e9taill\u00e9es. \u00ab\u00a0C\u2019est un regroupement intelligent de donn\u00e9es provenant d\u2019une m\u00eame source, un principe fort discut\u00e9 lorsqu\u2019il est li\u00e9 \u00e0 des <\/span>Business Intelligence<\/span>\u00a0\u00bb, explique Mendes.<\/span><\/p>\n

En r\u00e9sum\u00e9 :<\/b><\/h2>\n

Big Data fait r\u00e9f\u00e9rence \u00e0 une quantit\u00e9 exorbitante de donn\u00e9es produites quotidiennement, Data Mining est l\u2019\u00ab\u00a0extraction\u00a0\u00bb de ces donn\u00e9es et Data Warehouse est un d\u00e9p\u00f4t de donn\u00e9es num\u00e9riques.<\/span><\/p>\n

\u00c0 propos de quels autres concepts de la Technologie de l\u2019Information aimeriez-vous en savoir plus\u00a0? Laissez-nous un commentaire !<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"Vous devez d\u00e9j\u00e0 avoir entendu parler des Big Data. Vous avez \u00e9galement d\u00e9j\u00e0 commenc\u00e9 \u00e0 lire quelque chose sur le Data Mining et le Data Warehouse. Et finalement, savez-vous quelle est la diff\u00e9rence entre eux ?","protected":false},"author":6,"featured_media":8580,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[123,1648],"tags":[],"class_list":["post-8579","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","category-big-data-fr"],"acf":[],"yoast_head":"\nQuelle diff\u00e9rence entre Big Data, Data Mining et Data Warehouse? - MJV<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez notre nouvel article de blog MJV pour mieux comprendre les diff\u00e9rences entr Big Data, Data Mining et Data Warehouse.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mjvinnovation.com\/fr\/blog\/quelle-difference-entre-big-data-data-mining-et-data-warehouse\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Quelle diff\u00e9rence entre Big Data, Data Mining et Data Warehouse? 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