{"id":182824,"date":"2024-03-28T09:37:00","date_gmt":"2024-03-28T08:37:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=182824"},"modified":"2024-03-10T22:38:05","modified_gmt":"2024-03-10T21:38:05","slug":"kimball-method-what-is-it-how-do-i-use-it","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/kimball-method-what-is-it-how-do-i-use-it","title":{"rendered":"Kimball Method: What is it? How do I use it?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"182824\" class=\"elementor elementor-182824\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-924788f e-flex e-con-boxed e-con\" data-id=\"924788f\" 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-e055d92 elementor-widget elementor-widget-heading\" data-id=\"e055d92\" 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\">The volume of data generated and used by companies continues to grow exponentially. In this context, the efficient structuring and organization of this data for optimal analysis is of paramount importance.<\/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-94fb5ad e-flex e-con-boxed e-con\" data-id=\"94fb5ad\" 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<div class=\"elementor-element elementor-element-2e68ec7 e-con-full e-flex e-con\" data-id=\"2e68ec7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-de77c23 elementor-widget elementor-widget-image\" data-id=\"de77c23\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/KIMBALL.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-fdd4b61 e-con-full e-flex e-con\" data-id=\"fdd4b61\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-04c91a4 elementor-widget elementor-widget-text-editor\" data-id=\"04c91a4\" 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><strong>Dimensional modeling<\/strong> is an inescapable solution to this challenge. It is a methodological approach to the design of data warehouses.<\/p><p>Ralph Kimball, a pioneer and expert in business intelligence, established standards and principles that today guide many organizations in the design and operation of their<strong> information systems.<\/strong><\/p>\t\t\t\t\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-9ae7a6a e-flex e-con-boxed e-con\" data-id=\"9ae7a6a\" 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-658fce4 elementor-widget elementor-widget-heading\" data-id=\"658fce4\" 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\">Kimball's fundamental principles<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee0ad52 elementor-widget elementor-widget-text-editor\" data-id=\"ee0ad52\" 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>The <strong>Kimball method<\/strong> is based on a series of key principles that define how data should be structured and organized to facilitate its <strong>analysis and exploitation.<\/strong><\/p><p>These principles form the basis of <strong>dimensional modeling, providing a clear and systematic framework:<\/strong><\/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-208c6d5 elementor-widget elementor-widget-heading\" data-id=\"208c6d5\" 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-medium\">1. Tables et dimensions<\/h4>\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-cd98157 e-flex e-con-boxed e-con\" data-id=\"cd98157\" 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<div class=\"elementor-element elementor-element-6516a6d e-con-full e-flex e-con\" data-id=\"6516a6d\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0094c7e elementor-widget elementor-widget-image\" data-id=\"0094c7e\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image5-6.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-2e74689 e-con-full e-flex e-con\" data-id=\"2e74689\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5e72f0e elementor-widget elementor-widget-text-editor\" data-id=\"5e72f0e\" 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 \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Definition <\/b><span style=\"font-weight: 400;\">: Dimension tables contain the descriptive attributes of the data. They provide the context needed to understand and interpret the quantitative measures contained in the fact tables.<\/span><\/li>\n<\/ul>\n<ul>\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Main features <\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n \t<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Textual and descriptive attributes.<\/span><\/li>\n \t<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Often denormalized to optimize query performance and simplicity.<\/span><\/li>\n \t<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">May contain hierarchies to facilitate analysis at different levels of granularity.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\t\t\t\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-ebaee5c e-flex e-con-boxed e-con\" data-id=\"ebaee5c\" 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-46f6116 elementor-widget elementor-widget-heading\" data-id=\"46f6116\" 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-medium\">2. Tables de faits<\/h4>\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-2131ec0 e-flex e-con-boxed e-con\" data-id=\"2131ec0\" 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<div class=\"elementor-element elementor-element-117e8d0 e-con-full e-flex e-con\" data-id=\"117e8d0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-997dbe9 elementor-widget elementor-widget-image\" data-id=\"997dbe9\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image12-3.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-3ffa476 e-con-full e-flex e-con\" data-id=\"3ffa476\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1e9a5d7 elementor-widget elementor-widget-text-editor\" data-id=\"1e9a5d7\" 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 \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Definition <\/b><span style=\"font-weight: 400;\">: Fact tables store quantitative or metric measurements that are usually the result of a transaction or event.<\/span><\/li>\n<\/ul>\n \n<ul>\n \t<li aria-level=\"1\"><b>Main features:<\/b><\/li>\n<\/ul>\n<ul>\n \t<li style=\"list-style-type: none;\">\n<ul>\n \t<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Contain metrics such as sales, quantity, cost, etc.<\/span><\/li>\n \t<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Linked to dimension tables via foreign keys.<\/span><\/li>\n \t<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">May include composite keys to uniquely identify a record.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\t\t\t\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-31aef63 e-flex e-con-boxed e-con\" data-id=\"31aef63\" 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-4d1c224 elementor-widget elementor-widget-heading\" data-id=\"4d1c224\" 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-medium\">3. Granularity<\/h4>\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-fb3a016 e-flex e-con-boxed e-con\" data-id=\"fb3a016\" 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<div class=\"elementor-element elementor-element-3f9c2c1 e-con-full e-flex e-con\" data-id=\"3f9c2c1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0676c22 elementor-widget elementor-widget-image\" data-id=\"0676c22\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image8-4.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-28657a2 e-con-full e-flex e-con\" data-id=\"28657a2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-624ca29 elementor-widget elementor-widget-text-editor\" data-id=\"624ca29\" 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 \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Definition <\/b><span style=\"font-weight: 400;\">: Granularity refers to the level of detail or summary of the data stored in the fact table.<\/span><\/li>\n<\/ul>\n<ul>\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Importance <\/b><span style=\"font-weight: 400;\">:<\/span>\n<ul>\n \t<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Determining granularity is crucial as it influences how data is collected, stored and analyzed.<\/span><\/li>\n \t<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">It must be defined according to business needs and the questions for which the Data Warehouse is supposed to have the answers.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\t\t\t\t\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-38b4b0e e-flex e-con-boxed e-con\" data-id=\"38b4b0e\" 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-f5ece27 elementor-widget elementor-widget-heading\" data-id=\"f5ece27\" 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-medium\">4. Standardization vs. denormalization<\/h4>\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-8ddf77d e-flex e-con-boxed e-con\" data-id=\"8ddf77d\" 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<div class=\"elementor-element elementor-element-0f24f22 e-con-full e-flex e-con\" data-id=\"0f24f22\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7f15c21 elementor-widget elementor-widget-image\" data-id=\"7f15c21\" 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\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image2-5.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-f0bc6f0 e-con-full e-flex e-con\" data-id=\"f0bc6f0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9041e23 elementor-widget elementor-widget-text-editor\" data-id=\"9041e23\" 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 \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Normalization <\/b><span style=\"font-weight: 400;\">: The process of structuring data to reduce redundancy and improve integrity. It is often used in transactional database management systems.<\/span><\/li>\n<\/ul>\n<ul>\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Denormalization <\/b><span style=\"font-weight: 400;\">: The process of structuring data to improve query performance, often at the expense of redundancy. It is favored in dimensional modeling to facilitate data analysis.<\/span><\/li>\n<\/ul>\t\t\t\t\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-1c8dd0e e-flex e-con-boxed e-con\" data-id=\"1c8dd0e\" 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-0ba94eb elementor-widget elementor-widget-text-editor\" data-id=\"0ba94eb\" 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><strong>Kimball&#8217;s method,<\/strong> with its principles of dimension and fact tables, provides a solid framework for data warehouse design.<\/p><p>By understanding and applying these basic principles, organizations can create information systems that are robust, flexible and optimized for analysis.<\/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-66a2a67 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"66a2a67\" 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\/en\/data-scientist-course\">\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\">Entdecke unsere Kurse<\/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-551f2ed e-flex e-con-boxed e-con\" data-id=\"551f2ed\" 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-9fcbe6c elementor-widget elementor-widget-heading\" data-id=\"9fcbe6c\" 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\">Advantages of the Kimball Method<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-740611f elementor-widget elementor-widget-text-editor\" data-id=\"740611f\" 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><strong>Kimball&#8217;s dimensional<\/strong> modeling approach didn&#8217;t just happen to make its way into <a href=\"https:\/\/datascientest.com\/en\/become-a-data-engineer-the-must-have-skills\">data warehousing<\/a>. Its distinctive advantages make it a preferred approach for many organizations.<\/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-4b30094 elementor-widget elementor-widget-html\" data-id=\"4b30094\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-yxzy{background-color:#efefef;font-family:Tahoma, Geneva, sans-serif !important;font-size:15px;text-align:center;\r\n  vertical-align:top}\r\n.tg .tg-tz31{background-color:#efefef;font-family:Tahoma, Geneva, sans-serif !important;font-size:15px;font-weight:bold;\r\n  text-align:left;vertical-align:top}\r\n.tg .tg-fuhg{background-color:#efefef;font-family:Tahoma, Geneva, sans-serif !important;font-size:15px;text-align:left;\r\n  vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 800px\">\r\n<colgroup>\r\n<col style=\"width: 100px\">\r\n<col style=\"width: 225px\">\r\n<col style=\"width: 475px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-yxzy\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image1-8.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/th>\r\n    <th class=\"tg-tz31\"><span style=\"font-style:normal;text-decoration:none;color:#000\">Optimal Performance for Queries<\/span><\/th>\r\n    <th class=\"tg-fuhg\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Even on <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">large volumes<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\"> of data, this method facilitates quick queries. Thus, end users experience better performance with <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">reduced wait times<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\"> when generating reports or dashboards.<\/span><\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-yxzy\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image16-2.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-tz31\"><span style=\"font-style:normal;text-decoration:none;color:#000\">Flexibility <\/span><\/td>\r\n    <td class=\"tg-fuhg\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Dimensional modeling allows adding new dimensions or facts <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">without disrupting the existing structure. <\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">This facilitates updates and evolutions of the Data Warehouse as <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">business needs change<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-yxzy\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image3-4.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-tz31\"><span style=\"font-style:normal;text-decoration:none;color:#000\">Ease of Understanding<\/span><\/td>\r\n    <td class=\"tg-fuhg\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Clear separation between <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">dimensions <\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">(context) and <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">facts <\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">(measures) makes the Data Warehouse <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">intuitive and easy to understand<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">, even for non-specialists.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-yxzy\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image13-2.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-tz31\"><span style=\"font-style:normal;text-decoration:none;color:#000\">Scalability<\/span><\/td>\r\n    <td class=\"tg-fuhg\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Dimensional structure is designed to handle increasing data volumes <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">without compromising performance<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">. <\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-yxzy\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image14-2.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-tz31\"><span style=\"font-style:normal;text-decoration:none;color:#000\">Data Consistency and Integrity<\/span><\/td>\r\n    <td class=\"tg-fuhg\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">Dimensional modeling, with its clear structure, promotes better data quality and consistency. Inconsistencies or anomalies are <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">more easily identifiable.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-yxzy\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image6-6.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-tz31\"><span style=\"font-style:normal;text-decoration:none;color:#000\">Cost Reduction<\/span><\/td>\r\n    <td class=\"tg-fuhg\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">While initial setup may require investment, the ease of maintenance, scalability, and flexibility of the Kimball method can lead to <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000\">significant long-term savings<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">.<\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\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-95ac19f e-flex e-con-boxed e-con\" data-id=\"95ac19f\" 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-b8d806c elementor-widget elementor-widget-heading\" data-id=\"b8d806c\" 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\">Kimball design process<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a6d76f7 elementor-widget elementor-widget-text-editor\" data-id=\"a6d76f7\" 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>The successful implementation of a data warehouse relies heavily on rigorous, methodical design. Kimball&#8217;s method offers a structured process to guide designers through the essential stages of this complex task.<\/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-dfa9cd8 elementor-widget elementor-widget-image\" data-id=\"dfa9cd8\" 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<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image7.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\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-b19efb9 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"b19efb9\" 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 la m\u00e9thode de Kimball<\/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-06fb867 e-flex e-con-boxed e-con\" data-id=\"06fb867\" 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-cce984e elementor-widget elementor-widget-heading\" data-id=\"cce984e\" 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\">Kimball contre Inmon<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-31eccc8 elementor-widget elementor-widget-text-editor\" data-id=\"31eccc8\" 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>Two iconic figures dominate the world of data warehousing: Ralph Kimball and William Inmon. These two experts have each proposed distinct approaches to data warehouse modeling and design.<\/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-6e9d672 elementor-widget elementor-widget-html\" data-id=\"6e9d672\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-im40{background-color:#F3F3F3;font-family:Tahoma, Geneva, sans-serif !important;font-size:100%;text-align:left;\r\n  vertical-align:top}\r\n.tg .tg-z5fh{background-color:#666;color:#EFEFEF;font-family:Tahoma, Geneva, sans-serif !important;font-size:100%;font-weight:bold;\r\n  text-align:center;vertical-align:top}\r\n.tg .tg-70xy{background-color:#656565;font-family:Tahoma, Geneva, sans-serif !important;font-size:100%;text-align:left;\r\n  vertical-align:top}\r\n.tg .tg-1dlc{background-color:#c0c0c0;font-family:Tahoma, Geneva, sans-serif !important;font-size:100%;text-align:left;\r\n  vertical-align:top}\r\n.tg .tg-zmk7{background-color:#D9D9D9;font-family:Tahoma, Geneva, sans-serif !important;font-size:100%;font-weight:bold;\r\n  text-align:left;vertical-align:top}\r\n.tg .tg-bman{background-color:#F3F3F3;font-family:Tahoma, Geneva, sans-serif !important;font-size:100%;font-weight:bold;\r\n  text-align:left;vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 900px\">\r\n<colgroup>\r\n<col style=\"width: 100px\">\r\n<col style=\"width: 150px\">\r\n<col style=\"width: 325px\">\r\n<col style=\"width: 325px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-70xy\"><\/th>\r\n    <th class=\"tg-z5fh\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#EFEFEF;background-color:transparent\">Principle<\/span><\/th>\r\n    <th class=\"tg-z5fh\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#EFEFEF;background-color:transparent\">Kimball<\/span><\/th>\r\n    <th class=\"tg-z5fh\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#EFEFEF;background-color:transparent\">Inmon<\/span><\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-1dlc\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image11-3.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-zmk7\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Philosophical Foundations<\/span><\/td>\r\n    <td class=\"tg-im40\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Its approach is business process-oriented. It aims to build the data warehouse incrementally, starting with areas that bring the most value to the business.<\/span><\/td>\r\n    <td class=\"tg-im40\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">It envisions a centralized and holistic enterprise data warehouse. It advocates building a large standardized data warehouse first, followed by creating derived data marts for specific needs.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-1dlc\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image15-2.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-zmk7\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Architecture<\/span><\/td>\r\n    <td class=\"tg-im40\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Favors a bottom-up approach, usually starting with the creation of data marts to address specific needs, which can then be integrated into a broader data warehouse.<\/span><\/td>\r\n    <td class=\"tg-im40\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Favors a top-down approach, building a large enterprise data warehouse first, then deriving data marts for specific applications.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-1dlc\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image10-2.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-zmk7\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Modeling<\/span><\/td>\r\n    <td class=\"tg-bman\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Dimensional Modeling<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">: Data is organized into fact and dimension tables, as addressed in this article.<\/span><\/td>\r\n    <td class=\"tg-bman\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">3NF Modeling<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\"> (Third Normal Form): for the central data warehouse, ensuring maximum integrity and consistency.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-1dlc\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image4-6.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-zmk7\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Data Loading Process<\/span><\/td>\r\n    <td class=\"tg-im40\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">The ETL process is usually straightforward, feeding data from the source system directly into data marts or the warehouse.<\/span><\/td>\r\n    <td class=\"tg-im40\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Data is first loaded into the central data warehouse, then an ELT process is used to feed derived data marts.<\/span><\/td>\r\n  <\/tr>\r\n  <tr>\r\n    <td class=\"tg-1dlc\"><img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/10\/image14-2.png\" alt=\"Image\" width=\"100\" height=\"100\"><\/td>\r\n    <td class=\"tg-zmk7\"><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Flexibility and Consistency<\/span><\/td>\r\n    <td class=\"tg-im40\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">The Kimball method offers quicker implementation and <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">greater flexibility<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\"> to meet changing needs (may require more effort to ensure consistency across different data marts).<\/span><\/td>\r\n    <td class=\"tg-im40\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">With its <\/span><span style=\"font-weight:700;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">holistic approach<\/span><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">, Inmon ensures maximum data consistency across the enterprise (initial implementation may be longer and more costly).<\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-55da401 elementor-widget elementor-widget-text-editor\" data-id=\"55da401\" 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>Kimball and Inmon offer two different perspectives on the design and implementation of data warehouses. The choice between these approaches will depend on specific needs, available resources, and the company&#8217;s strategic objectives. Understanding the nuances of each method is essential to making an informed decision about which approach is best suited to a given situation.<\/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-733b672 e-flex e-con-boxed e-con\" data-id=\"733b672\" 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-797457a elementor-widget elementor-widget-heading\" data-id=\"797457a\" 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\">Conclusion<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bdff63c elementor-widget elementor-widget-text-editor\" data-id=\"bdff63c\" 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>The<strong> Kimball method,<\/strong> with its solid principles of dimensional modeling, offers a valuable framework for organizations seeking to optimize the efficiency, performance and flexibility of their information systems.<\/p><p><strong>However,<\/strong> like any methodology, it is not a one-size-fits-all solution.<\/p><p>Companies need to carefully assess their specific needs, resources and <strong>long-term objectives to choose the approach best suited to their context.<\/strong><\/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-5b71d33 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"5b71d33\" 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\/en\/data-courses\">\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\">Starting a Data Science course<\/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-7116b86 e-flex e-con-boxed e-con\" data-id=\"7116b86\" 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-7e97b70 elementor-widget elementor-widget-html\" data-id=\"7e97b70\" 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\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"Advantages of the Kimball Method\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Kimball's dimensional modeling didn't just appear on the data warehouse scene by accident. Its distinctive advantages make it a preferred approach for many organizations.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Kimball design process\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The successful implementation of a data warehouse relies heavily on rigorous, methodical design. Kimball's method offers a structured process to guide designers through the essential steps of this complex task.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Kimball versus Inmon\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Two iconic figures dominate the world of data warehousing: Ralph Kimball and William Inmon. These two experts have each proposed distinct approaches to data warehouse modeling and design.\"\n    }\n  }]\n}\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>The volume of data generated and used by companies continues to grow exponentially. In this context, the efficient structuring and organization of this data for optimal analysis is of paramount importance. Dimensional modeling is an inescapable solution to this challenge. It is a methodological approach to the design of data warehouses. Ralph Kimball, a pioneer [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":182825,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"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>Kimball Method: What is it? 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