{"id":193372,"date":"2023-04-16T06:34:00","date_gmt":"2023-04-16T06:34:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=193372"},"modified":"2023-11-09T14:23:12","modified_gmt":"2023-11-09T14:23:12","slug":"gcp-dataflow-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/gcp-dataflow-tout-savoir","title":{"rendered":"GCP Dataflow : Qu&rsquo;est-ce c&rsquo;est ? \u00c0 quoi \u00e7a sert ?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"193372\" class=\"elementor elementor-193372\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d97d58d e-flex e-con-boxed e-con\" data-id=\"d97d58d\" 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-5ad6364 elementor-widget elementor-widget-heading\" data-id=\"5ad6364\" 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\">Pour mener \u00e0 bien leurs projets sur Google Cloud Platform, les DevOps et data experts b\u00e9n\u00e9ficient d\u2019une multitude de services. Et notamment GCP Dataflow. Alors de quoi s\u2019agit-il ? Quelles sont ses fonctionnalit\u00e9s ? Pourquoi utiliser cet outil ? Quels sont ces avantages ? D\u00e9couvrez les r\u00e9ponses dans cet article. <span style=\"color: var( --e-global-color-primary ); text-align: var(--text-align);\"><\/span><br><\/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-ab220ea e-flex e-con-boxed e-con\" data-id=\"ab220ea\" 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-9c79a43 elementor-widget elementor-widget-heading\" data-id=\"9c79a43\" 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'est-ce que GCP Dataflow ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5e257c5 elementor-widget elementor-widget-text-editor\" data-id=\"5e257c5\" 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;\">Lanc\u00e9 en 2015 en tant que b\u00eata, GCP Dataflow est un<\/span><b> service enti\u00e8rement g\u00e9r\u00e9 qui facilite le traitement des donn\u00e9es par flux (stream) et par lots (batchs).\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">En parall\u00e8le de la cr\u00e9ation du Data Flow, Google a d\u00e9velopp\u00e9 l\u2019Apache Software Foundation pour acc\u00e9der aux services de donn\u00e9es de GCP. Ainsi, Dataflow permet d\u2019ex\u00e9cuter les pipelines du mod\u00e8le de programmation open source Apache Beam.<\/span><\/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-aef580e e-flex e-con-boxed e-con\" data-id=\"aef580e\" 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-520781c elementor-widget elementor-widget-heading\" data-id=\"520781c\" 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 du service Dataflow ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6d2f7c elementor-widget elementor-widget-heading\" data-id=\"a6d2f7c\" 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\">L\u2019analyse de donn\u00e9es en continu<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-424de81 elementor-widget elementor-widget-text-editor\" data-id=\"424de81\" 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;\">Streaming Analytics de GCP Dataflow organise vos donn\u00e9es, en veillant \u00e0 leur pertinence et leur disponibilit\u00e9. Gr\u00e2ce \u00e0 sa puissance de traitement, il vous permet d<\/span><b>\u2019acqu\u00e9rir, de traiter et d\u2019analyser de grands ensembles de donn\u00e9es en temps r\u00e9el.<\/b><\/p><p><span style=\"font-weight: 400;\">Pour les Data Scientists et Data Analysts, cet outil d\u2019analyse est un v\u00e9ritable gain de temps, notamment pour acc\u00e9der aux informations sur les flux.<\/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-35543db elementor-widget elementor-widget-heading\" data-id=\"35543db\" 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\">L\u2019Intelligence Artificielle en temps r\u00e9el<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5fd466 elementor-widget elementor-widget-text-editor\" data-id=\"d5fd466\" 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;\">Le service DataFlow de <a href=\"https:\/\/datascientest.com\/certifications-google-cloud-platform\">Google Cloud Platform<\/a> <\/span><span style=\"font-weight: 400;\">utilise l\u2019Intelligence Artificielle pour d\u00e9tecter des anomalies, identifier des patterns, personnaliser le parcours client, ou r\u00e9aliser des analyses pr\u00e9dictives. Quelle que soit l\u2019application de l\u2019IA dans l\u2019organisation, elle permet aux \u00e9quipes de<\/span><b> r\u00e9agir rapidement<\/b><span style=\"font-weight: 400;\">, m\u00eame si plusieurs \u00e9v\u00e9nements apparaissent en m\u00eame temps.\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-e833615 elementor-widget elementor-widget-image\" data-id=\"e833615\" 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=\"640\" height=\"414\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/ia-dataflow-gcp.jpg\" class=\"attachment-full size-full wp-image-193390\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/ia-dataflow-gcp.jpg 640w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/ia-dataflow-gcp-300x194.jpg 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\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-a31f98c elementor-widget elementor-widget-heading\" data-id=\"a31f98c\" 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\">La mise \u00e0 l'\u00e9chelle automatique verticale\/horizontale<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-219f873 elementor-widget elementor-widget-text-editor\" data-id=\"219f873\" 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;\">GCP Dataflow vous propose deux types de mise \u00e0 l\u2019\u00e9chelle :\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Autoscaling vertical : <\/b><span style=\"font-weight: 400;\">il s\u2019agit de prot\u00e9ger les t\u00e2ches contre les probl\u00e8mes de m\u00e9moire insuffisante. Cela permet ainsi d\u2019augmenter l&rsquo;efficacit\u00e9 du pipeline.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Autoscaling horizontal <\/b><span style=\"font-weight: 400;\">: l\u2019id\u00e9e est de d\u00e9terminer le nombre appropri\u00e9 de d\u00e9veloppeurs ou d&rsquo;analystes pour mener \u00e0 bien une t\u00e2che. Et ce, de mani\u00e8re automatique. Le nombre de travailleurs peut varier au cours d\u2019un m\u00eame processus en fonction de l\u2019intensit\u00e9 de la t\u00e2che.\u00a0\u00a0<\/span><\/li>\n<\/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-a53aa54 elementor-widget elementor-widget-text-editor\" data-id=\"a53aa54\" 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;\">Dans tous les cas, l\u2019objectif est de<\/span><b> modifier la capacit\u00e9 de calcul des \u00e9quipes en fonction de leur utilisation.<\/b><span style=\"font-weight: 400;\"> Et pour optimiser les performances et les ressources, vous pouvez aussi combiner l&rsquo;autoscaling vertical et horizontal.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">En plus de la mise \u00e0 l\u2019\u00e9chelle, Dataflow Prime vous permet de<\/span><b> cr\u00e9er des pools de ressources sp\u00e9cifiques<\/b><span style=\"font-weight: 400;\">. Ce qui permet d\u2019\u00e9viter le gaspillage. <\/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-d05c8fc elementor-widget elementor-widget-heading\" data-id=\"d05c8fc\" 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\">Les diagnostics intelligents <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b8ca4f8 elementor-widget elementor-widget-text-editor\" data-id=\"b8ca4f8\" 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 diagnostics comprennent plusieurs fonctionnalit\u00e9s :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La gestion des pipelines de donn\u00e9es<\/b><span style=\"font-weight: 400;\"> : Google adapte le pipeline Dataflow en fonction du niveau de services.\u00a0\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La visualisation des t\u00e2ches Dataflow <\/b><span style=\"font-weight: 400;\">: gr\u00e2ce aux graphiques, il est possible d\u2019identifier rapidement les goulots d&rsquo;\u00e9tranglement.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Les recommandations automatiques<\/b><span> : en plus d\u2019identifier les probl\u00e8mes de performance ou de disponibilit\u00e9, Dataflow GCP aide les \u00e9quipes \u00e0 les r\u00e9soudre.<\/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-b36e3da elementor-widget elementor-widget-heading\" data-id=\"b36e3da\" 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\">La capture des donn\u00e9es en temps r\u00e9el<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1440173 elementor-widget elementor-widget-text-editor\" data-id=\"1440173\" 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;\">Les data scientists et data analysts peuvent<\/span><b> synchroniser et r\u00e9pliquer les informations en provenance de sources de donn\u00e9es h\u00e9t\u00e9rog\u00e8nes.<\/b><span style=\"font-weight: 400;\"> Par exemple, r\u00e9pliquer les donn\u00e9es de Google Cloud Storage vers <a href=\"https:\/\/datascientest.com\/google-bigquery-tout-savoir\">BigQuery<\/a> ou <a href=\"https:\/\/datascientest.com\/quest-ce-que-postgresql\">PostgreSQL<\/a>.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Et tout cela, en garantissant la fiabilit\u00e9 des datas et un temps de latence minimal. Cela vous permet ainsi d&rsquo;alimenter les analyses en continu. <\/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-4c38d21 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"4c38d21\" 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\">Ma\u00eetriser les fonctionnalit\u00e9s de Dataflow<\/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-0df57d5 e-flex e-con-boxed e-con\" data-id=\"0df57d5\" 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-5075d26 elementor-widget elementor-widget-heading\" data-id=\"5075d26\" 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\">Pourquoi utiliser GCP Dataflow ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7c86609 elementor-widget elementor-widget-text-editor\" data-id=\"7c86609\" 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;\">Gr\u00e2ce \u00e0 toutes ces fonctionnalit\u00e9s, Google Dataflow s&rsquo;applique pour une multitude de situations. Voici les principales :\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-fe8b6e2 elementor-widget elementor-widget-heading\" data-id=\"fe8b6e2\" 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\">Le commerce \u00e9lectronique <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a8141d elementor-widget elementor-widget-text-editor\" data-id=\"6a8141d\" 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;\">Les <a href=\"https:\/\/datascientest.com\/pourquoi-les-entreprises-de-commerce-evitent-lanalyse-de-donnees\">entreprises e-commerce<\/a> <\/span><span style=\"font-weight: 400;\">peuvent construire un pipeline de streaming GCP Dataflow pour convertir leurs donn\u00e9es Pub\/Sub avant de les envoyer \u00e0 BigQuery et Cloud Bigtable.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cela permet, par exemple, d\u2019obtenir le nombre de vues par produit sur une p\u00e9riode donn\u00e9e (\u00e0 diff\u00e9rentes \u00e9chelles), d\u2019optimiser l\u2019ordre de l\u2019inventaire, analyser les comportements d\u2019achats\u2026<\/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-37ed6e2 elementor-widget elementor-widget-heading\" data-id=\"37ed6e2\" 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\">La d\u00e9tection des fraudes<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-886a8bd elementor-widget elementor-widget-text-editor\" data-id=\"886a8bd\" 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 l\u2019utilisation de la carte de cr\u00e9dit est indispensable pour les paiements en ligne, elle augmente aussi le <a href=\"https:\/\/datascientest.com\/indo-se-dote-doutils-data-pour-prevenir-la-fraude-financiere\">risque de fraude<\/a><\/span><span style=\"font-weight: 400;\">. Or, cela peut causer des pertes tr\u00e8s importantes pour les organisations. GCP Dataflow peut alors \u00eatre utilis\u00e9 pour d\u00e9tecter les fraudes. \u00c0 cette fin, il convient de construire un pipeline qui <\/span><b>classifie la validit\u00e9 d&rsquo;une transaction par carte de cr\u00e9di<\/b><span style=\"font-weight: 400;\">t. Vous pourrez ensuite faire des pr\u00e9dictions sur les donn\u00e9es en continu afin de d\u00e9tecter tout risque de fraude.\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-3c78dde elementor-widget elementor-widget-heading\" data-id=\"3c78dde\" 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\">La surveillance et configuration des alertes<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e0f7ad6 elementor-widget elementor-widget-text-editor\" data-id=\"e0f7ad6\" 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;\">Il est possible de <\/span><b>configurer la surveillance de vos services<\/b><span style=\"font-weight: 400;\"> (comme le service client, commercial, marketing, le syst\u00e8me d\u2019information, les processus industriels, \u2026). Pour surveiller ces diff\u00e9rents \u00e9l\u00e9ments, il suffit de param\u00e9trer des m\u00e9triques personnalis\u00e9es repr\u00e9sentant vos objectifs en termes de niveau de service.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Ensuite, vous pourrez programmer des alertes d\u00e8s lors que les indicateurs atteignent les seuils d\u00e9finis. Pour cela, utilisez Cloud Dataflow runner et les alertes Stackdriver. <\/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-ba28a57 elementor-widget elementor-widget-image\" data-id=\"ba28a57\" 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=\"640\" height=\"376\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/dataflow-gcp.jpg\" class=\"attachment-full size-full wp-image-193392\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/dataflow-gcp.jpg 640w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/dataflow-gcp-300x176.jpg 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2817554 e-flex e-con-boxed e-con\" data-id=\"2817554\" 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-8e0d0cf elementor-widget elementor-widget-heading\" data-id=\"8e0d0cf\" 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 Dataflow GCP ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-832606f elementor-widget elementor-widget-text-editor\" data-id=\"832606f\" 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 Dataflow rencontre un v\u00e9ritable succ\u00e8s aupr\u00e8s des professionnels du Big data. Et cela s\u2019explique par ces multiples avantages.\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-284950f elementor-widget elementor-widget-heading\" data-id=\"284950f\" 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\">Le gain de temps<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cbe7b5a elementor-widget elementor-widget-text-editor\" data-id=\"cbe7b5a\" 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;\">Gr\u00e2ce \u00e0 GCP Dataflow, les d\u00e9veloppeurs n\u2019ont plus besoin de suivre les performances ou de s\u2019occuper de la gestion des ressources. C\u2019est le service Dataflow qui s\u2019en charge. En effet, cet outil rassemble les donn\u00e9es n\u00e9cessaires et optimise l\u2019infrastructure. De son c\u00f4t\u00e9, le d\u00e9veloppeur peut se focaliser sur l\u2019\u00e9criture du code de traitement des donn\u00e9es.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dans le m\u00eame esprit, les Data Analysts et Data Scientists gagnent un temps pr\u00e9cieux dans l\u2019analyse des donn\u00e9es par flux et par lots.\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-fea1b16 elementor-widget elementor-widget-heading\" data-id=\"fea1b16\" 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\">La r\u00e9duction des co\u00fbts <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7477e52 elementor-widget elementor-widget-text-editor\" data-id=\"7477e52\" 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;\">Celle-ci est rendue possible par :\u00a0<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>L\u2019approche sans serveur<\/b><span style=\"font-weight: 400;\"> permet d\u2019\u00e9liminer les frais g\u00e9n\u00e9raux op\u00e9rationnels des charges de travail d&rsquo;ing\u00e9nierie des donn\u00e9es.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>La fonctionnalit\u00e9 FlexRS <\/b><span style=\"font-weight: 400;\">utilise des techniques de planification avanc\u00e9es pour r\u00e9duire le co\u00fbt des traitements par lot. <\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Les mises \u00e0 l\u2019\u00e9chelle<\/b><span> permettent d\u2019optimiser les ressources, et donc, de r\u00e9duire les d\u00e9penses inutiles.<\/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-9d10c8e elementor-widget elementor-widget-heading\" data-id=\"9d10c8e\" 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\">L\u2019adaptation<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9c4819a elementor-widget elementor-widget-text-editor\" data-id=\"9c4819a\" 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;\">Dataflow peut \u00eatre mis en \u0153uvre dans trois langages de programmation : Java, <a href=\"https:\/\/datascientest.com\/comment-combiner-python-et-power-bi-pour-la-data-science\">Python<\/a> et Go. En outre, vous pouvez facilement l&rsquo;int\u00e9grer au Cloud ML Engine, \u00e0 Google BigQuery <\/span><span style=\"font-weight: 400;\">et \u00e0 Pub\/Sub.<\/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-0cd9b2b elementor-widget elementor-widget-heading\" data-id=\"0cd9b2b\" 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\">La flexibilit\u00e9<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e6a9a6 elementor-widget elementor-widget-text-editor\" data-id=\"9e6a9a6\" 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;\">Dataflow GCP fonctionne selon le principe de <\/span><b>r\u00e9duction associative.<\/b><span style=\"font-weight: 400;\"> Ainsi, les d\u00e9veloppeurs n&rsquo;ont pas besoin d\u2019attendre que la premi\u00e8re \u00e9tape soit termin\u00e9e avant d\u2019en commencer une nouvelle.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Par ailleurs, ce service est <\/span><b>\u00e9volutif horizontalement. <\/b><span style=\"font-weight: 400;\">C\u2019est-\u00e0-dire qu\u2019il se d\u00e9veloppe automatiquement pendant l&rsquo;ex\u00e9cution du workflow.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Afin de profiter de l\u2019ensemble des avantages de GCP Dataflow, mieux vaut se former \u00e0 cet outil. C\u2019est justement possible gr\u00e2ce aux diff\u00e9rentes formations propos\u00e9es par Datascientest.<\/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-47dcb42 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"47dcb42\" 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 ma\u00eetriser GCP Dataflow<\/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-a8ae271 e-flex e-con-boxed e-con\" data-id=\"a8ae271\" 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-23cb48d elementor-widget elementor-widget-heading\" data-id=\"23cb48d\" 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-c318e5c elementor-widget elementor-widget-text-editor\" data-id=\"c318e5c\" 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>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">GCP Dataflow <\/span>facilite le traitement des donn\u00e9es par flux (stream) et par lots (batchs).\u00a0<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Gr\u00e2ce \u00e0 ses multiples fonctionnalit\u00e9s, ce service peut \u00eatre utilis\u00e9 pour une multitude d\u2019applications (du commerce \u00e9lectronique \u00e0 la d\u00e9tection des fraudes en passant par l\u2019optimisation des processus industriels).\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Google Dataflow permet aux organisations de r\u00e9aliser des analyses rapides des flux de donn\u00e9es, de simplifier les processus op\u00e9rationnels et de r\u00e9duire les co\u00fbts. <\/span><\/li>\n<\/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-3447431 e-flex e-con-boxed e-con\" data-id=\"3447431\" 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-bad3cbf elementor-widget elementor-widget-html\" data-id=\"bad3cbf\" 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'est-ce que Google Cloud Dataflow ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Lanc\u00e9 en 2015 en tant que b\u00eata, Dataflow GCP est un service enti\u00e8rement g\u00e9r\u00e9 qui facilite le traitement des donn\u00e9es par flux (stream) et par lots (batchs).  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Dans le m\u00eame esprit, les Data Analysts et Data Scientists gagnent un temps pr\u00e9cieux dans l\u2019analyse des donn\u00e9es par flux et par lots.\"\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>Pour mener \u00e0 bien leurs projets sur Google Cloud Platform, les DevOps et data experts b\u00e9n\u00e9ficient d\u2019une multitude de services. Et notamment GCP Dataflow. Alors de quoi s\u2019agit-il ? Quelles sont ses fonctionnalit\u00e9s ? Pourquoi utiliser cet outil ? Quels sont ces avantages ? D\u00e9couvrez les r\u00e9ponses dans cet article. Qu&rsquo;est-ce que GCP Dataflow ? [&hellip;]<\/p>\n","protected":false},"author":79,"featured_media":193374,"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>GCP Dataflow : Qu&#039;est-ce c&#039;est ? \u00c0 quoi \u00e7a sert ?<\/title>\n<meta name=\"description\" content=\"Pour mener \u00e0 bien leurs projets sur Google Cloud Platform, les DevOps et data experts b\u00e9n\u00e9ficient d\u2019une multitude de services, et notamment GCP Dataflow.\" \/>\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\/gcp-dataflow-tout-savoir\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"GCP Dataflow : Qu&#039;est-ce c&#039;est ? \u00c0 quoi \u00e7a sert ?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/gcp-dataflow-tout-savoir\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2023-04-16T06:34:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-09T14:23:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/03\/dataflow-gcp.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"450\" \/>\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\/gcp-dataflow-tout-savoir\",\"url\":\"https:\/\/datascientest.com\/gcp-dataflow-tout-savoir\",\"name\":\"GCP Dataflow : Qu'est-ce c'est ? \u00c0 quoi \u00e7a sert ?\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2023-04-16T06:34:00+00:00\",\"dateModified\":\"2023-11-09T14:23:12+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/61997d589648bc1d367f632ba686e354\"},\"description\":\"Pour mener \u00e0 bien leurs projets sur Google Cloud Platform, les DevOps et data experts b\u00e9n\u00e9ficient d\u2019une multitude de services, et notamment GCP Dataflow.\",\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/gcp-dataflow-tout-savoir\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/#website\",\"url\":\"https:\/\/datascientest.com\/\",\"name\":\"Formation Data Science | DataScientest.com\",\"description\":\"Leader de la formation en Data Science\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/61997d589648bc1d367f632ba686e354\",\"name\":\"Dan Cohen\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dancohen.jpeg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/dancohen.jpeg\",\"caption\":\"Dan Cohen\"},\"description\":\"Dan Cohen est actuellement Data Engineer chez DataScientest. 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