{"id":115,"date":"2025-08-03T17:13:39","date_gmt":"2025-08-03T17:13:39","guid":{"rendered":"https:\/\/ledatalab.fr\/?page_id=115"},"modified":"2025-08-20T17:02:38","modified_gmt":"2025-08-20T17:02:38","slug":"data-warehouse","status":"publish","type":"page","link":"https:\/\/ledatalab.fr\/index.php\/glossaire\/data-warehouse\/","title":{"rendered":"Data Warehouse"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-medium\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/ledatalab.fr\/wp-content\/uploads\/2025\/08\/Data-Warehouse_illustration-300x300.png\" alt=\"Illustration pour le terme Data Warehouse\" class=\"wp-image-312\" srcset=\"https:\/\/ledatalab.fr\/wp-content\/uploads\/2025\/08\/Data-Warehouse_illustration-300x300.png 300w, https:\/\/ledatalab.fr\/wp-content\/uploads\/2025\/08\/Data-Warehouse_illustration-1024x1024.png 1024w, https:\/\/ledatalab.fr\/wp-content\/uploads\/2025\/08\/Data-Warehouse_illustration-150x150.png 150w, https:\/\/ledatalab.fr\/wp-content\/uploads\/2025\/08\/Data-Warehouse_illustration-768x768.png 768w, https:\/\/ledatalab.fr\/wp-content\/uploads\/2025\/08\/Data-Warehouse_illustration-1536x1536.png 1536w, https:\/\/ledatalab.fr\/wp-content\/uploads\/2025\/08\/Data-Warehouse_illustration.png 2048w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/figure>\n<\/div>\n\n\n<h1 class=\"wp-block-heading has-text-align-center\">Data Warehouse<\/h1>\n\n\n\n<p class=\"has-text-align-center\"><em>Cat\u00e9gorie&nbsp;<\/em>: Architecture &amp; Infrastructures<\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">D\u00e9finition<\/h2>\n\n\n\n<p>Un Data Warehouse, ou entrep\u00f4t de donn\u00e9es, est une base de donn\u00e9es centralis\u00e9e, sp\u00e9cialement con\u00e7ue pour stocker, organiser et analyser des donn\u00e9es historiques provenant de plusieurs sources.<\/p>\n\n\n\n<p>Contrairement aux bases de donn\u00e9es transactionnelles (CRM, ERP\u2026), le Data Warehouse est optimis\u00e9 pour l\u2019analyse, pas pour la saisie. Il contient des donn\u00e9es :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>nettoy\u00e9es<\/strong> et <strong>structur\u00e9es<\/strong><strong><br><\/strong><\/li>\n\n\n\n<li><strong>historis\u00e9es<\/strong> (donn\u00e9es dans le temps)<br><\/li>\n\n\n\n<li><strong>agr\u00e9g\u00e9es ou d\u00e9taill\u00e9es<\/strong>, selon les besoins<br><\/li>\n\n\n\n<li><strong>mod\u00e9lis\u00e9es<\/strong> (ex : sch\u00e9mas en \u00e9toile ou en flocon)<\/li>\n<\/ul>\n\n\n\n<p>Il sert de r\u00e9f\u00e9rence unique et fiable pour les tableaux de bord, rapports m\u00e9tiers ou analyses avanc\u00e9es.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Exemple d\u2019usage ou de contexte<\/h2>\n\n\n\n<p>Une entreprise veut analyser ses ventes en croisant les donn\u00e9es :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>de son site e-commerce (commandes)<br><\/li>\n\n\n\n<li>de son CRM (client\u00e8le)<br><\/li>\n\n\n\n<li>de son ERP (stocks et livraisons)<\/li>\n<\/ul>\n\n\n\n<p>Ces donn\u00e9es sont extraites, nettoy\u00e9es, enrichies, puis charg\u00e9es dans un Data Warehouse o\u00f9 elles sont historis\u00e9es par jour.<br>Les \u00e9quipes peuvent ensuite construire des dashboards Power BI pour suivre les KPIs comme le panier moyen, le d\u00e9lai moyen de livraison, ou la fid\u00e9lit\u00e9 client.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Structure typique<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Tables de faits<\/strong> : contiennent les mesures chiffr\u00e9es (ventes, nombre de clics\u2026)<br><\/li>\n\n\n\n<li><strong>Tables de dimensions<\/strong> : donnent du contexte aux faits (temps, produit, client\u2026)<br><\/li>\n<\/ul>\n\n\n\n<p>Mod\u00e9lisation classique : <strong>sch\u00e9ma en \u00e9toile<\/strong>, <strong>flocon<\/strong>, ou <strong>vault<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Comparaison avec d\u2019autres concepts<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th class=\"has-text-align-center\" data-align=\"center\"><strong>\u00c9l\u00e9ment<\/strong><\/th><th class=\"has-text-align-center\" data-align=\"center\"><strong>Data Warehouse<\/strong><\/th><th class=\"has-text-align-center\" data-align=\"center\"><strong>Data Lake<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">Type de donn\u00e9es<\/td><td class=\"has-text-align-center\" data-align=\"center\">Structur\u00e9es<\/td><td class=\"has-text-align-center\" data-align=\"center\">Structur\u00e9es + non structur\u00e9es<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Mod\u00e9lisation<\/td><td class=\"has-text-align-center\" data-align=\"center\">Avant le stockage<br>(schema-on-write)<\/td><td class=\"has-text-align-center\" data-align=\"center\">Apr\u00e8s usage<br>(schema-on-read)<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Objectif<\/td><td class=\"has-text-align-center\" data-align=\"center\">Reporting fiable &amp; rapide<\/td><td class=\"has-text-align-center\" data-align=\"center\">Exploration libre, data science<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Co\u00fbt du stockage<\/td><td class=\"has-text-align-center\" data-align=\"center\">Moyen \u00e0 \u00e9lev\u00e9<\/td><td class=\"has-text-align-center\" data-align=\"center\">Faible<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Public principal<\/td><td class=\"has-text-align-center\" data-align=\"center\">D\u00e9cideurs, analystes, finance\u2026<\/td><td class=\"has-text-align-center\" data-align=\"center\">Data scientists, d\u00e9veloppeurs<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Outils &amp; solutions associ\u00e9s<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Cloud<\/strong> : Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse<br><\/li>\n\n\n\n<li><strong>On-premise<\/strong> : Teradata, Oracle, SQL Server (Data Warehouse Edition)<br><\/li>\n\n\n\n<li><strong>ETL\/ELT associ\u00e9s<\/strong> : Talend, dbt, Fivetran, Azure Data Factory<br><\/li>\n\n\n\n<li><strong>Visualisation connect\u00e9e<\/strong> : Power BI, Tableau, Looker<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83e\udde0 \u00c0 retenir<\/h2>\n\n\n\n<pre class=\"wp-block-preformatted\">Le Data Warehouse est le c\u0153ur analytique de l\u2019entreprise : une base fiable, structur\u00e9e, rapide, con\u00e7ue pour prendre des d\u00e9cisions bas\u00e9es sur des donn\u00e9es solides.<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Data Warehouse Cat\u00e9gorie&nbsp;: Architecture &amp; Infrastructures D\u00e9finition Un Data Warehouse, ou entrep\u00f4t de donn\u00e9es, est une base de donn\u00e9es centralis\u00e9e, sp\u00e9cialement con\u00e7ue pour stocker, organiser et analyser des donn\u00e9es historiques provenant de plusieurs sources. Contrairement aux bases de donn\u00e9es transactionnelles (CRM, ERP\u2026), le Data Warehouse est optimis\u00e9 pour l\u2019analyse, pas pour la saisie. Il contient &#8230; <a title=\"Data Warehouse\" class=\"read-more\" href=\"https:\/\/ledatalab.fr\/index.php\/glossaire\/data-warehouse\/\" aria-label=\"En savoir plus sur Data Warehouse\">Lire la suite<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":15,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-115","page","type-page","status-publish"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Warehouse - Le Data Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ledatalab.fr\/index.php\/glossaire\/data-warehouse\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Warehouse - Le Data Lab\" \/>\n<meta property=\"og:description\" content=\"Data Warehouse Cat\u00e9gorie&nbsp;: Architecture &amp; Infrastructures D\u00e9finition Un Data Warehouse, ou entrep\u00f4t de donn\u00e9es, est une base de donn\u00e9es centralis\u00e9e, sp\u00e9cialement con\u00e7ue pour stocker, organiser et analyser des donn\u00e9es historiques provenant de plusieurs sources. Contrairement aux bases de donn\u00e9es transactionnelles (CRM, ERP\u2026), le Data Warehouse est optimis\u00e9 pour l\u2019analyse, pas pour la saisie. Il contient ... 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