{"id":189310,"date":"2023-02-09T17:55:00","date_gmt":"2023-02-09T17:55:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=189310"},"modified":"2023-11-09T14:23:22","modified_gmt":"2023-11-09T14:23:22","slug":"google-bigquery-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/google-bigquery-tout-savoir","title":{"rendered":"Google BigQuery : Tout savoir de ce Data Warehouse"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"189310\" class=\"elementor elementor-189310\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8d9fb31 e-flex e-con-boxed e-con\" data-id=\"8d9fb31\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c87e638 elementor-widget elementor-widget-heading\" data-id=\"c87e638\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Parmi les solutions de datawarehouse cloud les plus populaires, il y a Google BigQuery. Gr\u00e2ce \u00e0 ses multiples fonctionnalit\u00e9s, cet entrep\u00f4t simplifie la gestion et l\u2019analyse de donn\u00e9es. Alors qu\u2019est-ce que BigQuery ? \u00c0 qui s\u2019adresse-t-il ? Quelles sont ses fonctionnalit\u00e9s ? Quels sont ses points forts ? Toutes les r\u00e9ponses sont dans cet article.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-325cc8f e-flex e-con-boxed e-con\" data-id=\"325cc8f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-52d28c7 elementor-widget elementor-widget-heading\" data-id=\"52d28c7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Qu\u2019est-ce que BigQuery ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bdfeaf0 elementor-widget elementor-widget-text-editor\" data-id=\"bdfeaf0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">BigQuery est <strong>un <\/strong><\/span><strong>entrep\u00f4t de donn\u00e9es<\/strong><b> enti\u00e8rement g\u00e9r\u00e9 par Google<\/b><span style=\"font-weight: 400;\">. Gr\u00e2ce \u00e0 des fonctionnalit\u00e9s int\u00e9gr\u00e9es, comme le Machine Learning ou l\u2019informatique d\u00e9cisionnelle, cette <a href=\"https:\/\/datascientest.com\/data-warehouse\">datawarehouse<\/a> simplifie la gestion et l\u2019analyse de donn\u00e9es. C\u2019est justement pour cette raison que c\u2019est l\u2019un des outils pr\u00e9f\u00e9r\u00e9s des data analysts.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Mais aussi en raison de ses particularit\u00e9s. En effet, depuis son lancement en 2010, Google a souhait\u00e9 r\u00e9volutionn\u00e9 les datawarehouse existants. Ainsi, BigQuery dispose d\u2019une architecture sans serveur, il n\u2019a pas d\u2019index, sa base de donn\u00e9es est sans colonnes, il peut r\u00e9aliser de nombreuses mises \u00e0 jour \u00e0 la seconde, etc.<\/span><\/p><p><strong>Bon \u00e0 savoir<\/strong> : Ses principaux concurrents sont Amazon Redshit, Oracle database ou encore Snowflake.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1fc854b e-flex e-con-boxed e-con\" data-id=\"1fc854b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-56a1cc7 elementor-widget elementor-widget-heading\" data-id=\"56a1cc7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">\u00c0 qui s\u2019adresse Google BigQuery ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-91aaee1 elementor-widget elementor-widget-text-editor\" data-id=\"91aaee1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Google BigQuery s\u2019adresse \u00e0 <strong>tous les experts charg\u00e9s de traiter les donn\u00e9es<\/strong>, tels que les <a href=\"https:\/\/datascientest.com\/formation-data-analyst\">data analysts<\/a>, les <a href=\"https:\/\/datascientest.com\/formation-data-scientist\">data scientists<\/a>, les administrateurs de donn\u00e9es ou encore les d\u00e9veloppeurs. Les missions de chacun \u00e9tant diff\u00e9rentes, Google BigQuery propose plusieurs fonctionnalit\u00e9s vari\u00e9es pour r\u00e9pondre \u00e0 tous types de besoins. Par exemple :<\/p><ul><li><strong>Les analystes de donn\u00e9es<\/strong> : ils peuvent interroger et analyser les donn\u00e9es BigQuery en utilisant diff\u00e9rents outils, comme Looker, BI Engine ou Google sheets.<\/li><li><strong>Les administrateurs<\/strong> : ils peuvent consulter les tables BigQuery pour optimiser la gouvernance des donn\u00e9es.<\/li><li><strong>Les data scientists<\/strong> : ils peuvent entra\u00eener des mod\u00e8les BigQuery afin de r\u00e9aliser des analyses pr\u00e9dictives ou des classifications.<\/li><li><strong>Les d\u00e9veloppeurs<\/strong> : ils peuvent charger les ensembles de donn\u00e9es dans la datawarehouse de Google, afin de d\u00e9velopper des applications ou des logiciels performants.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4eedda6 elementor-widget elementor-widget-image\" data-id=\"4eedda6\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"566\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/expert-big-data.png\" class=\"attachment-full size-full wp-image-189319\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/expert-big-data.png 1000w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/expert-big-data-300x170.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/expert-big-data-768x435.png 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eacac87 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"eacac87\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Apprendre \u00e0 utiliser BigQuery avec DataScientest<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-93f1f39 e-flex e-con-boxed e-con\" data-id=\"93f1f39\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a25b249 elementor-widget elementor-widget-heading\" data-id=\"a25b249\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Quelles sont les fonctionnalit\u00e9s ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60cf4eb elementor-widget elementor-widget-text-editor\" data-id=\"60cf4eb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Google BigQuery met \u00e0 disposition des utilisateurs de nombreuses fonctionnalit\u00e9s pour simplifier de travail de gestion et d\u2019analyse des donn\u00e9es. Voici les principales.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9531612 elementor-widget elementor-widget-heading\" data-id=\"9531612\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Pour le stockage<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-404d8a0 elementor-widget elementor-widget-text-editor\" data-id=\"404d8a0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Outre Google cloud platform, BigQuery vous propose plusieurs fonctionnalit\u00e9s pour optimiser le stockage des donn\u00e9es.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1804480 elementor-widget elementor-widget-heading\" data-id=\"1804480\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>L\u2019API storage write<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87bbf3f elementor-widget elementor-widget-text-editor\" data-id=\"87bbf3f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Cette API ultra performante<\/span> <b>combine l&rsquo;ingestion par flux et le chargement par lot. <\/b><span style=\"font-weight: 400;\">Concr\u00e8tement, cette API fonctionne gr\u00e2ce aux flux. C\u2019est ce qui permet d\u2019\u00e9crire des donn\u00e9es dans les tables BigQuery. Par principe, l\u2019API storage write diffuse des flux par d\u00e9faut. Vous recevrez alors les donn\u00e9es en continu. Mais selon vos besoins, il est aussi possible de cr\u00e9er vos propres flux.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Ainsi, gr\u00e2ce \u00e0 cette fonctionnalit\u00e9, vous pouvez :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">diffuser des enregistrements en temps r\u00e9el ;\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">traiter un grand nombre d&rsquo;enregistrements par lot ;\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">transf\u00e9rer vos donn\u00e9es en streaming. <\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9adbb61 elementor-widget elementor-widget-heading\" data-id=\"9adbb61\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>Le service de transfert de donn\u00e9es<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-91be1dd elementor-widget elementor-widget-text-editor\" data-id=\"91be1dd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>L\u2019objectif est d\u2019<strong>automatiser le transfert de donn\u00e9es vers BigQuery<\/strong>. Gr\u00e2ce \u00e0 ce service, les data analysts disposent d\u2019une base de donn\u00e9es enrichie, sans avoir \u00e0 \u00e9crire une seule ligne de code.<\/p><p>Le transfert est possible depuis une tr\u00e8s grande vari\u00e9t\u00e9 de <a href=\"https:\/\/datascientest.com\/definition-data-source\">sources de donn\u00e9es<\/a>. Vous retrouverez \u00e9videmment les applications Google SaaS (comme Google ADs, Google Play, YouTube, Cloud Storage, \u2026), mais aussi des applications tierces, telles qu\u2019Amazon S3, Amazon Redshift ou Teradata.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-15c04fc elementor-widget elementor-widget-heading\" data-id=\"15c04fc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>Les mod\u00e8les d\u2019organisation de ressources<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b703081 elementor-widget elementor-widget-text-editor\" data-id=\"b703081\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Pour aider les administrateurs \u00e0<\/span><b> mieux g\u00e9rer leurs ressources,<\/b><span style=\"font-weight: 400;\"> Google BigQuery leur fournit plusieurs mod\u00e8les. \u00c0 l\u2019int\u00e9rieur de chaque mod\u00e8le, GBQ d\u00e9finit plusieurs \u00e9l\u00e9ments qui permettent de hi\u00e9rarchiser les donn\u00e9es, \u00e0 savoir (de bas en haut de la pyramide) :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Les ensembles de donn\u00e9es ;\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Les projets ;\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Les dossiers ;\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Les organisations. <\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-39bd7e0 elementor-widget elementor-widget-text-editor\" data-id=\"39bd7e0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Ces derniers peuvent \u00eatre utilis\u00e9s pour faire face \u00e0 diff\u00e9rents types de charges de travail, comme <\/span><span style=\"font-weight: 400;\">les autorisations, les quotas, les r\u00e9servations d&#8217;emplacements et la facturation.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-944de70 elementor-widget elementor-widget-heading\" data-id=\"944de70\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Pour l\u2019analyse<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f072b5f elementor-widget elementor-widget-heading\" data-id=\"f072b5f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>BigQuery ML<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-72dc89b elementor-widget elementor-widget-text-editor\" data-id=\"72dc89b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">En utilisant des <\/span><span style=\"font-weight: 400;\">requ\u00eates <a href=\"https:\/\/datascientest.com\/sql-tout-savoir\">SQL<\/a> standards dans BigQuery, les utilisateurs peuvent<\/span><b> ex\u00e9cuter des mod\u00e8les de machine learning. <\/b><span style=\"font-weight: 400;\">Traditionnellement, l\u2019utilisation de l\u2019apprentissage automatique sur des ensembles de donn\u00e9es volumineux n\u00e9cessite des connaissances pouss\u00e9es des structures ML. Ce qui exclut les data analysts et limite fortement le nombre de profils au sein d\u2019une organisation. Avec BigQuery, les analystes pourront utiliser le machine learning gr\u00e2ce \u00e0 leurs connaissances des outils SQL. Et ce, m\u00eame pour les grandes quantit\u00e9s de donn\u00e9es.\u00a0<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ebd57e5 elementor-widget elementor-widget-heading\" data-id=\"ebd57e5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\"><i><b>L\u2019informatique d\u00e9cisionnel<\/b><\/i><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a84b2bc elementor-widget elementor-widget-text-editor\" data-id=\"a84b2bc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Google Big Query est <\/span><b>compatible avec d\u2019autres outils, <\/b><span style=\"font-weight: 400;\">tels que BI Engine, Looker Studio, Looker, Google Sheets, <a href=\"https:\/\/datascientest.com\/tableau-outil-de-business-intelligence\">Tableau<\/a> ou encore <a href=\"https:\/\/datascientest.com\/power-bi-pour-les-nuls\">Power BI<\/a>. Cela permet ainsi aux data analysts d\u2019<\/span><b>automatiser les processus d\u2019analyse et de visualisation des donn\u00e9es<\/b><span style=\"font-weight: 400;\">. L\u2019analytics \u00e9tant plus rapide, plus efficace et moins chronophage, les utilisateurs de BigQuery peuvent focaliser leur attention sur des analyses de plus en plus pouss\u00e9es. Ce qui permet, in fine, d\u2019aider les organisations \u00e0 prendre de meilleures d\u00e9cisions. <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6dda56d elementor-widget elementor-widget-image\" data-id=\"6dda56d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"950\" height=\"534\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/stockage-donnees-bigquery.png\" class=\"attachment-full size-full wp-image-189320\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/stockage-donnees-bigquery.png 950w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/stockage-donnees-bigquery-300x169.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/stockage-donnees-bigquery-768x432.png 768w\" sizes=\"(max-width: 950px) 100vw, 950px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-24b795a elementor-widget elementor-widget-heading\" data-id=\"24b795a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Pour la gestion des donn\u00e9es<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e370cf6 elementor-widget elementor-widget-text-editor\" data-id=\"e370cf6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Au-del\u00e0 du stockage et de l\u2019analyse, BigQuery vous offre plusieurs fonctionnalit\u00e9s tr\u00e8s performantes pour am\u00e9liorer l\u2019administration des donn\u00e9es. Par exemple :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>IAM : <\/b><span style=\"font-weight: 400;\">il s\u2019agit d\u2019un syst\u00e8me de gestion de l\u2019authentification des acc\u00e8s. Il permet de s\u00e9curiser les donn\u00e9es.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La centralisation <\/b><span style=\"font-weight: 400;\">: les donn\u00e9es et les ressources de calcul sont centralis\u00e9es afin d\u2019en simplifier la gestion.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Les t\u00e2ches<\/b><span style=\"font-weight: 400;\"> : BigQuery peut r\u00e9aliser plusieurs actions en votre nom pour charger, exporter, interroger ou copier des donn\u00e9es.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e838d77 e-flex e-con-boxed e-con\" data-id=\"e838d77\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d28c2ee elementor-widget elementor-widget-heading\" data-id=\"d28c2ee\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Quels sont les avantages de BigQuery ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e667b9a elementor-widget elementor-widget-text-editor\" data-id=\"e667b9a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Si Google BigQuery est l\u2019un des outils privil\u00e9gi\u00e9s des data analysts, c\u2019est gr\u00e2ce \u00e0 ses nombreux avantages, tels que :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La simplicit\u00e9 d\u2019utilisation<\/b><span style=\"font-weight: 400;\"> : il suffit de transf\u00e9rer les donn\u00e9es vers BigQuery pour utiliser l\u2019ensemble de ses fonctionnalit\u00e9s. Et comme il s\u2019agit d\u2019un service sans serveur, il n\u2019est pas n\u00e9cessaire de g\u00e9rer une infrastructure complexe pour utiliser les requ\u1ec1tes SQL.\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La performance<\/b><span style=\"font-weight: 400;\"> : BigQuery poss\u00e8de un moteur d\u2019analyse distribu\u00e9 et \u00e9volutif. Ce dernier permet ainsi d\u2019interroger des requ\u00eates de plusieurs t\u00e9raoctets en seulement quelques secondes et de requ\u00eates de plusieurs p\u00e9taoctets en quelques minutes.<\/span><\/li><li><b>La compatibilit\u00e9 : <\/b><span style=\"font-weight: 400;\">que ce soit au niveau des langages de programmation (<a href=\"https:\/\/datascientest.com\/comment-combiner-python-et-power-bi-pour-la-data-science\">Python<\/a>, Java, JavaScript ou Go) ou des applications tierces (Amazon Redshift, Teradata\u2026).<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7dae21f e-flex e-con-boxed e-con\" data-id=\"7dae21f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a23fe39 elementor-widget elementor-widget-heading\" data-id=\"a23fe39\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Ce qu\u2019il faut retenir<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-666acd2 elementor-widget elementor-widget-text-editor\" data-id=\"666acd2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Google Big Query est un <strong>entrep\u00f4t de donn\u00e9es<\/strong> sans serveur.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cet outil <strong>s\u2019adresse \u00e0 tous les sp\u00e9cialistes de la data<\/strong> pour l\u2019analyse, l\u2019apprentissage automatique, la gestion de donn\u00e9es ou encore le stockage.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Big Query pr\u00e9sente des <strong>performances uniques<\/strong>, puisqu\u2019il peut dig\u00e9rer un t\u00e9raoctet en seulement quelques secondes.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2543b68 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"2543b68\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">S'inscrire \u00e0 une formation pour ma\u00eetriser BigQuery <\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0fbd552 e-flex e-con-boxed e-con\" data-id=\"0fbd552\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-af5c036 elementor-widget elementor-widget-html\" data-id=\"af5c036\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu\u2019est-ce que BigQuery ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"BigQuery est un entrep\u00f4t de donn\u00e9es enti\u00e8rement g\u00e9r\u00e9 par Google. 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Et comme il s\u2019agit d\u2019un service sans serveur, il n\u2019est pas n\u00e9cessaire de g\u00e9rer une infrastructure complexe pour utiliser les requ\u1ec1tes SQL.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Parmi les solutions de datawarehouse cloud les plus populaires, il y a Google BigQuery. Gr\u00e2ce \u00e0 ses multiples fonctionnalit\u00e9s, cet entrep\u00f4t simplifie la gestion et l\u2019analyse de donn\u00e9es. Alors qu\u2019est-ce que BigQuery ? \u00c0 qui s\u2019adresse-t-il ? Quelles sont ses fonctionnalit\u00e9s ? Quels sont ses points forts ? Toutes les r\u00e9ponses sont dans cet article. [&hellip;]<\/p>\n","protected":false},"author":79,"featured_media":189311,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2411],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Google BigQuery : Tout savoir de ce Data Warehouse<\/title>\n<meta name=\"description\" content=\"Gr\u00e2ce \u00e0 ses multiples fonctionnalit\u00e9s, BigQuerry simplifie la gestion et l\u2019analyse de donn\u00e9es. Alors qu\u2019est-ce que c&#039;est ? \u00c0 qui s\u2019adresse-t-il ?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/google-bigquery-tout-savoir\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google BigQuery : Tout savoir de ce Data Warehouse\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/google-bigquery-tout-savoir\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2023-02-09T17:55:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-09T14:23:22+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/01\/bigquerry.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Dan Cohen\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dan Cohen\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/google-bigquery-tout-savoir\",\"url\":\"https:\/\/datascientest.com\/google-bigquery-tout-savoir\",\"name\":\"Google BigQuery : Tout savoir de ce Data Warehouse\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2023-02-09T17:55:00+00:00\",\"dateModified\":\"2023-11-09T14:23:22+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/61997d589648bc1d367f632ba686e354\"},\"description\":\"Gr\u00e2ce \u00e0 ses multiples fonctionnalit\u00e9s, BigQuerry simplifie la gestion et l\u2019analyse de donn\u00e9es. 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Il poss\u00e8de une solide exp\u00e9rience dans le domaine de la data, ayant pr\u00e9c\u00e9demment occup\u00e9 des postes de Consultant en Data Science chez Meotec, Data Engineer chez Cetim, et Ing\u00e9nieur commercial chez Global D\u00e9co &amp; Food.\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/dancohen1307\/\",\"Cloud & Data Engineering\"],\"url\":\"https:\/\/datascientest.com\/author\/dancohen\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Google BigQuery : Tout savoir de ce Data Warehouse","description":"Gr\u00e2ce \u00e0 ses multiples fonctionnalit\u00e9s, BigQuerry simplifie la gestion et l\u2019analyse de donn\u00e9es. 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