{"id":605,"date":"2021-05-17T14:39:42","date_gmt":"2021-05-17T12:39:42","guid":{"rendered":"https:\/\/datapy.fr\/?p=605"},"modified":"2024-03-27T16:25:49","modified_gmt":"2024-03-27T15:25:49","slug":"buzz-query-un-moteur-de-requetes-pour-dashboarding-bigdata-serverless-pour-les-startups","status":"publish","type":"post","link":"https:\/\/datapy.fr\/index.php\/2021\/05\/17\/buzz-query-un-moteur-de-requetes-pour-dashboarding-bigdata-serverless-pour-les-startups\/","title":{"rendered":"\u201cBuzz Query\u201d, un moteur de requ\u00eates pour dashboarding bigdata serverless"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"605\" class=\"elementor elementor-605\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e0c6c0e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e0c6c0e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-83cd019\" data-id=\"83cd019\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-94e31de elementor-widget elementor-widget-image\" data-id=\"94e31de\" 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 - v3.21.0 - 25-04-2024 *\/\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<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"630\" src=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/DataPy_Article_moteur_de_requetes_pour_dashboarding_bigdata_serverless-1024x630.jpeg\" class=\"attachment-large size-large wp-image-3177\" alt=\"\" srcset=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/DataPy_Article_moteur_de_requetes_pour_dashboarding_bigdata_serverless-1024x630.jpeg 1024w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/DataPy_Article_moteur_de_requetes_pour_dashboarding_bigdata_serverless-300x185.jpeg 300w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/DataPy_Article_moteur_de_requetes_pour_dashboarding_bigdata_serverless-768x473.jpeg 768w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/DataPy_Article_moteur_de_requetes_pour_dashboarding_bigdata_serverless-1536x945.jpeg 1536w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/DataPy_Article_moteur_de_requetes_pour_dashboarding_bigdata_serverless-2048x1261.jpeg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\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<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9ebf0fa elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9ebf0fa\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7023103\" data-id=\"7023103\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-99eb45d elementor-widget elementor-widget-heading\" data-id=\"99eb45d\" 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 - v3.21.0 - 25-04-2024 *\/\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\">\u201cBuzz Query\u201d, un moteur de requ\u00eates pour dashboarding bigdata serverless<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0de3766 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0de3766\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c5d0be5\" data-id=\"c5d0be5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8aed2d0 elementor-widget elementor-widget-text-editor\" data-id=\"8aed2d0\" 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 - v3.21.0 - 25-04-2024 *\/\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>L\u2019histoire commence par la rencontre entre l\u2019\u00e9quipe DataPy et\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.linkedin.com\/in\/rdettai\/\">R\u00e9mi Dettai<\/a><\/span>\u2026 R\u00e9mi est un ing\u00e9nieur de talent sp\u00e9cialis\u00e9 en Data et Cloud. R\u00e9mi a eu de nombreuses exp\u00e9riences dans les domaines de la tech, chez des industriels comme Continental ou encore dans des startups. R\u00e9mi a fond\u00e9\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.cloudfuse.io\/\">Cloudfuse<\/a><\/span>\u00a0en 2020 et sa solution opensource m\u00e9rite d\u2019\u00eatre partag\u00e9e.\u00a0<\/p><p>Le but de cet article est donc de pr\u00e9senter son produit \u201cBuzz Query\u201d, une solution innovante de moteur de requ\u00eates de dashboarding qui pr\u00e9sente l\u2019avantage d\u2019\u00eatre peu co\u00fbteuse compar\u00e9e aux solutions des GAFA, tout en offrant des temps de latences tr\u00e8s faibles.\u00a0<\/p><p>Cet article est donc l\u2019opportunit\u00e9 de partager un panorama des solutions du march\u00e9 de dashboarding BigData, d\u2019en comprendre les enjeux et de mesurer pourquoi la solution de R\u00e9mi pourrait vous s\u00e9duire.<\/p><p>C\u2019est aussi l\u2019opportunit\u00e9 pour des potentiels passionn\u00e9s d\u2019open source de rentrer en contact avec\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.linkedin.com\/in\/rdettai\/\">R\u00e9mi<\/a><\/span>\u00a0et de contribuer \u00e0 sa belle initiative.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b4cfc1e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b4cfc1e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8b57eb6\" data-id=\"8b57eb6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a0b036d elementor-widget elementor-widget-text-editor\" data-id=\"a0b036d\" 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>Compte tenu de la richesse technique des technologies mises en oeuvre au sein de cet article, nous vous proposons d\u2019aborder successivement les th\u00e8mes suivants:\u00a0<\/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-aa85bb1 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-vertical-align-top elementor-widget elementor-widget-icon-box\" data-id=\"aa85bb1\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<link rel=\"stylesheet\" href=\"https:\/\/datapy.fr\/wp-content\/plugins\/elementor\/assets\/css\/widget-icon-box.min.css\">\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tQu\u2019est-ce que le dashboarding de BigData?\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-029779a elementor-position-left elementor-view-default elementor-mobile-position-top elementor-vertical-align-top elementor-widget elementor-widget-icon-box\" data-id=\"029779a\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tLe serverless, une approche efficace \u00e0 bas prix\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f7a3d9 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-vertical-align-top elementor-widget elementor-widget-icon-box\" data-id=\"1f7a3d9\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tForces et faiblesse de Spark et Elasticsearch\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-318487a elementor-position-left elementor-view-default elementor-mobile-position-top elementor-vertical-align-top elementor-widget elementor-widget-icon-box\" data-id=\"318487a\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\t\u201cBuzz Query\u201d, une solution  de dashboarding serverless bigdata id\u00e9ale pour les startups\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-befd2eb elementor-widget elementor-widget-text-editor\" data-id=\"befd2eb\" 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>Bonne lecture\u00a0<img decoding=\"async\" class=\"emoji\" role=\"img\" draggable=\"false\" src=\"https:\/\/s.w.org\/images\/core\/emoji\/14.0.0\/svg\/1f609.svg\" alt=\"\ud83d\ude09\" \/><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-16a41af elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"16a41af\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8039071\" data-id=\"8039071\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cfa4fc0 elementor-widget elementor-widget-heading\" data-id=\"cfa4fc0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Qu\u2019est-ce que le dashboarding de BigData ?<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-83b2e36 elementor-widget elementor-widget-text-editor\" data-id=\"83b2e36\" 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>On peut segmenter le monde du bigdata en deux parties, \u00e0 l\u2019image du moteur de recherche Google.\u00a0<\/p><p>D\u2019une part, certaines solutions BigData vont permettre \u00e0 un grand nombre d\u2019utilisateurs d\u2019acc\u00e9der \u00e0 un service (une application) en m\u00eame temps. A titre d\u2019exemple, Google aspire les sites du web, classifie les \u00e9l\u00e9ments clefs de chacun d\u2019entre eux, puis permet \u00e0 des millions d\u2019utilisateurs d\u2019obtenir les r\u00e9ponses \u00e0 leurs requ\u00eates en parall\u00e8le.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b1a83ad elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b1a83ad\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-00d2fd4\" data-id=\"00d2fd4\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e9315e7 elementor-widget elementor-widget-image\" data-id=\"e9315e7\" 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<img decoding=\"async\" width=\"1024\" height=\"277\" src=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Application-BigData-1-1024x277.jpeg\" class=\"attachment-large size-large wp-image-3380\" alt=\"\" srcset=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Application-BigData-1-1024x277.jpeg 1024w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Application-BigData-1-300x81.jpeg 300w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Application-BigData-1-768x208.jpeg 768w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Application-BigData-1.jpeg 1500w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\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<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-26637fe elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"26637fe\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-63bb29f\" data-id=\"63bb29f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b0ee49e elementor-widget elementor-widget-text-editor\" data-id=\"b0ee49e\" 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>D\u2019autre part, certaines solutions de BigData permettent \u00e0 un nombre restreint d\u2019utilisateurs d\u2019acc\u00e9der \u00e0 un grand volume de donn\u00e9es, en leur donnant la possibilit\u00e9 d\u2019avoir des vues synth\u00e9tiques, tout en leur permettant d\u2019aller les \u00e9tudier dans le d\u00e9tail. L\u00e0 aussi, par exemple, Google permet aux webmasters ou autres responsables marketing d\u2019analyser les audiences des sites (pages vues \u00e0 telle heures\u2026 par tel type de population, dans tel et tel pays \u2026). Cette solution qui s\u2019appelle Google Analytics est une solution de dashboarding. Les utilisateurs veulent avoir des r\u00e9sultats de mani\u00e8re rapide, \u00eatre capable \u00e0 la fois d\u2019aller dans le d\u00e9tail et d\u2019avoir une vue de synth\u00e8se.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-729e5ab elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"729e5ab\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-10a3ad0\" data-id=\"10a3ad0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b5a8d94 elementor-widget elementor-widget-image\" data-id=\"b5a8d94\" 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<img decoding=\"async\" width=\"1024\" height=\"288\" src=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Reporting-BigData-1-1024x288.jpeg\" class=\"attachment-large size-large wp-image-3381\" alt=\"\" srcset=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Reporting-BigData-1-1024x288.jpeg 1024w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Reporting-BigData-1-300x84.jpeg 300w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Reporting-BigData-1-768x216.jpeg 768w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/05\/Reporting-BigData-1.jpeg 1500w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\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<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-35ea043 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"35ea043\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-dc05bba\" data-id=\"dc05bba\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c7e4a8e elementor-widget elementor-widget-text-editor\" data-id=\"c7e4a8e\" 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>On commence \u00e0 saisir le dilemme qui s\u2019offre \u00e0 l\u2019ing\u00e9nieur BigData lors de la cr\u00e9ation de chaque nouvelle architecture bigdata\u2026 Au moment de la cr\u00e9ation de telles solutions, leurs cr\u00e9ateurs ne connaissent g\u00e9n\u00e9ralement pas totalement les usages futurs. Leur tendance est donc de vouloir stocker toutes les donn\u00e9es, toutes leurs dimensions. La finesse des r\u00e9sultats demande des capacit\u00e9s de stockage et de calculs importantes. Une exigence du client interne est \u00e9galement souvent d\u2019avoir une r\u00e9ponse \u00e0 ses requ\u00eates au bout de quelques secondes. On imagine mal devoir attendre plus de 30 secondes les stats de Google Analytics. Le temps de r\u00e9ponse est donc un param\u00e8tre clef de l\u2019exp\u00e9rience utilisateur. Mais plus on souhaite avoir un temps de r\u00e9ponse rapide, et plus le co\u00fbt de la solution augmentera. Faut-il donc stocker toutes les informations ou seulement des agr\u00e9gations? Ne pourrait-on pas trouver d\u2019autres types d\u2019architectures combinant capacit\u00e9 \u00e0 traiter des gros volumes de donn\u00e9es, dans un temps satisfaisant pour l\u2019utilisateur et \u00e0 un prix \u2018acceptable\u2019?<\/p><p>C\u2019est l\u00e0 que le\u00a0<a href=\"https:\/\/datapy.fr\/index.php\/2021\/05\/26\/le-serverless-une-approche-efficace-a-bas-prix\/\"><span style=\"text-decoration: underline;\">serverless<\/span><\/a>\u00a0commence \u00e0 intervenir, et nous vous pr\u00e9senterons cette approche dans un\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/datapy.fr\/index.php\/2021\/05\/26\/le-serverless-une-approche-efficace-a-bas-prix\/\">article d\u00e9di\u00e9 la semaine prochaine<\/a><\/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<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e8b0c63 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e8b0c63\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-75b7649\" data-id=\"75b7649\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fca6911 elementor-position-left elementor-view-default elementor-mobile-position-top elementor-vertical-align-top elementor-widget elementor-widget-icon-box\" data-id=\"fca6911\" data-element_type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon elementor-animation-\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tVous devriez \u00e9galement aimer\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\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<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cd5ce09 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cd5ce09\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-a41f4a0\" data-id=\"a41f4a0\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-dbc29ff elementor-position-top elementor-widget elementor-widget-image-box\" data-id=\"dbc29ff\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.21.0 - 25-04-2024 *\/\n.elementor-widget-image-box .elementor-image-box-content{width:100%}@media (min-width:768px){.elementor-widget-image-box.elementor-position-left .elementor-image-box-wrapper,.elementor-widget-image-box.elementor-position-right .elementor-image-box-wrapper{display:flex}.elementor-widget-image-box.elementor-position-right .elementor-image-box-wrapper{text-align:end;flex-direction:row-reverse}.elementor-widget-image-box.elementor-position-left .elementor-image-box-wrapper{text-align:start;flex-direction:row}.elementor-widget-image-box.elementor-position-top .elementor-image-box-img{margin:auto}.elementor-widget-image-box.elementor-vertical-align-top .elementor-image-box-wrapper{align-items:flex-start}.elementor-widget-image-box.elementor-vertical-align-middle .elementor-image-box-wrapper{align-items:center}.elementor-widget-image-box.elementor-vertical-align-bottom .elementor-image-box-wrapper{align-items:flex-end}}@media (max-width:767px){.elementor-widget-image-box .elementor-image-box-img{margin-left:auto!important;margin-right:auto!important;margin-bottom:15px}}.elementor-widget-image-box .elementor-image-box-img{display:inline-block}.elementor-widget-image-box .elementor-image-box-title a{color:inherit}.elementor-widget-image-box .elementor-image-box-wrapper{text-align:center}.elementor-widget-image-box .elementor-image-box-description{margin:0}<\/style><div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><a href=\"https:\/\/datapy.fr\/index.php\/2021\/02\/22\/en-route-vers-lautomatisation-iceberg-procrastination-et-noeud-gordien\/\" tabindex=\"-1\"><img loading=\"lazy\" decoding=\"async\" width=\"2551\" height=\"1376\" src=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/02\/robot2-2.jpg\" class=\"attachment-full size-full wp-image-3247\" alt=\"\" srcset=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/02\/robot2-2.jpg 2551w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/02\/robot2-2-300x162.jpg 300w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/02\/robot2-2-1024x552.jpg 1024w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/02\/robot2-2-768x414.jpg 768w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/02\/robot2-2-1536x829.jpg 1536w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/02\/robot2-2-2048x1105.jpg 2048w\" sizes=\"(max-width: 2551px) 100vw, 2551px\" \/><\/a><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/datapy.fr\/index.php\/2021\/02\/22\/en-route-vers-lautomatisation-iceberg-procrastination-et-noeud-gordien\/\">En route vers l\u2019automatisation : iceberg, procrastination et n\u0153ud gordien<\/a><\/h3><p class=\"elementor-image-box-description\">Quels sont les freins et acc\u00e9l\u00e9rateurs du DevOps ? Iceberg Lorsque l\u2019on \u00e9voque l\u2019automatisation, le top management dispose trop souvent de peu d\u2019indicateurs sur le volume de....<\/p><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-c478d4f\" data-id=\"c478d4f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-79a0524 elementor-position-top elementor-widget elementor-widget-image-box\" data-id=\"79a0524\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><a href=\"https:\/\/datapy.fr\/index.php\/2020\/09\/03\/cas-dusage-dataops-industrialisation-des-environnements-et-processus-de-data-science\/\" tabindex=\"-1\"><img loading=\"lazy\" decoding=\"async\" width=\"348\" height=\"224\" src=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/06\/Capture-decran-2023-03-01-a-16.04.50.png\" class=\"attachment-full size-full wp-image-3359\" alt=\"\" srcset=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/06\/Capture-decran-2023-03-01-a-16.04.50.png 348w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/06\/Capture-decran-2023-03-01-a-16.04.50-300x193.png 300w\" sizes=\"(max-width: 348px) 100vw, 348px\" \/><\/a><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/datapy.fr\/index.php\/2020\/09\/03\/cas-dusage-dataops-industrialisation-des-environnements-et-processus-de-data-science\/\">Cas d\u2019usage DataOps: Industrialisation des environnements et processus...<\/a><\/h3><p class=\"elementor-image-box-description\">Voici un exemple de travail r\u00e9alis\u00e9 par un des membres de notre communaut\u00e9 dans une des plus grandes entreprises fran\u00e7aises, pour industrialiser l\u2019environnement de travail, l\u2019acc\u00e8s et le traitement...<\/p><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-11bbc91\" data-id=\"11bbc91\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a7dc199 elementor-position-top elementor-widget elementor-widget-image-box\" data-id=\"a7dc199\" data-element_type=\"widget\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><a href=\"https:\/\/datapy.fr\/index.php\/2019\/03\/06\/277\/\" tabindex=\"-1\"><img loading=\"lazy\" decoding=\"async\" width=\"348\" height=\"224\" src=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/06\/Capture-decran-2023-03-01-a-16.04.50.png\" class=\"attachment-full size-full wp-image-3359\" alt=\"\" srcset=\"https:\/\/datapy.fr\/wp-content\/uploads\/2021\/06\/Capture-decran-2023-03-01-a-16.04.50.png 348w, https:\/\/datapy.fr\/wp-content\/uploads\/2021\/06\/Capture-decran-2023-03-01-a-16.04.50-300x193.png 300w\" sizes=\"(max-width: 348px) 100vw, 348px\" \/><\/a><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/datapy.fr\/index.php\/2019\/03\/06\/277\/\">SEO vocal et mon\u00e9tisation des applications vocales<\/a><\/h3><p class=\"elementor-image-box-description\">Les assistants vocaux s\u2019inscrivent dans les enjeux du marketing digital mais les r\u00e8gles et techniques du web et des applications mobiles ne s\u2019appliquent plus. Il est n\u00e9cessaire de penser un positionnement...<\/p><\/div><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u201cBuzz Query\u201d, un moteur de requ\u00eates pour dashboarding bigdata serverless L\u2019histoire commence par la rencontre entre l\u2019\u00e9quipe DataPy et\u00a0R\u00e9mi Dettai\u2026 R\u00e9mi est un ing\u00e9nieur de talent sp\u00e9cialis\u00e9 en Data et Cloud. R\u00e9mi a eu de nombreuses exp\u00e9riences dans les domaines de la tech, chez des industriels comme Continental ou encore dans des startups. R\u00e9mi a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3177,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-605","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data","entry","has-media"],"_links":{"self":[{"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/posts\/605","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/comments?post=605"}],"version-history":[{"count":0,"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/posts\/605\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/media\/3177"}],"wp:attachment":[{"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/media?parent=605"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/categories?post=605"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datapy.fr\/index.php\/wp-json\/wp\/v2\/tags?post=605"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}