{"id":67350,"date":"2021-05-06T12:31:14","date_gmt":"2021-05-06T11:31:14","guid":{"rendered":"https:\/\/multi.datascientest.com\/?p=67350"},"modified":"2023-01-11T15:17:36","modified_gmt":"2023-01-11T14:17:36","slug":"data-warehouse-2","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/data-warehouse-2","title":{"rendered":"Data Warehouse : Definition, main concepts and use cases"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"67350\" class=\"elementor elementor-67350\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-02ec3f5 e-flex e-con-boxed e-con\" data-id=\"02ec3f5\" 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-6d161c2 elementor-widget elementor-widget-text-editor\" data-id=\"6d161c2\" 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><b>A Data Warehouse allows you to collect data from various sources and analyze them. Discover everything you need to know about this technology at the heart of Data Science: definition, operation, history, use cases, training\u2026<\/b><\/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-80bf500 e-flex e-con-boxed e-con\" data-id=\"80bf500\" 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-d8ed1d6 elementor-widget elementor-widget-heading\" data-id=\"d8ed1d6\" 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><h3 class=\"elementor-heading-title elementor-size-default\">What is a Data Warehouse ?\u200b<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da5c7e3 elementor-widget elementor-widget-text-editor\" data-id=\"da5c7e3\" 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;\">A data warehouse is a platform used to <\/span><b>collect and analyze data<\/b><span style=\"font-weight: 400;\"> from multiple heterogeneous sources. It occupies a central position within a <\/span><strong>Business Intelligence<\/strong><span style=\"font-weight: 400;\"> system.<\/span><\/p><p><span style=\"font-weight: 400;\">This platform <\/span><b>combines several technologies and components<\/b><span style=\"font-weight: 400;\"> that enable data to be used. It allows the storage of a large volume of data, but also the query and analysis. The objective is to <\/span><b>transform raw data into useful information<\/b><span style=\"font-weight: 400;\">, and to make it available and accessible to users.<\/span><\/p><p><span style=\"font-weight: 400;\">A data warehouse is usually separated from the operational database of a company. It allows users to draw on historical and current data to make better decisions.<\/span><\/p><p><span style=\"font-weight: 400;\">The term &#8220;<\/span><b>Data Warehousing<\/b><span style=\"font-weight: 400;\">&#8221; refers to the process of collecting and managing data from various sources in order to extract valuable information that can be used by the company.<\/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-3994d55 e-flex e-con-boxed e-con\" data-id=\"3994d55\" 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-3d28007 elementor-widget elementor-widget-video\" data-id=\"3d28007\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=AHR_7jFCMeY&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.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-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\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-f3b0af3 e-flex e-con-boxed e-con\" data-id=\"f3b0af3\" 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-66160d1 elementor-widget elementor-widget-text-editor\" data-id=\"66160d1\" 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;\">A data warehouse can have two different statuses.<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Offline<\/b><span style=\"font-weight: 400;\"> : The data is <\/span><b>copied from an operational system to another server<\/b><span style=\"font-weight: 400;\">. The loading, processing and reporting of the data does not impact the performance of the OS.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Online<\/b><span style=\"font-weight: 400;\"> : The data is <\/span><b>regularly updated<\/b><span style=\"font-weight: 400;\"> from the operational database. In the case of a real-time data warehouse, the data is updated every time a transaction takes place in the relational database. An example of this is a train or plane reservation system.<\/span><\/li><\/ul><p><span style=\"font-weight: 400;\">Finally, in the case of an integrated data warehouse, the data is updated continuously. The generated transactions are transferred back to the operating system.<\/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-a2d9cb6 e-flex e-con-boxed e-con\" data-id=\"a2d9cb6\" 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-9eb1df3 elementor-widget elementor-widget-heading\" data-id=\"9eb1df3\" 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\">How did the concept of the Data Warehouse appear ?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd28a7c elementor-widget elementor-widget-text-editor\" data-id=\"dd28a7c\" 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;\">Over time, computers have become more complex. The amount of data available to businesses has<\/span><b> increased dramatically<\/b><span style=\"font-weight: 400;\">. Therefore, data warehouses have become indispensable.<\/span><\/p><p><span style=\"font-weight: 400;\">In 1970,<\/span><b> Nielsen<\/b><span style=\"font-weight: 400;\"> and <\/span><b>IRI<\/b><span style=\"font-weight: 400;\"> first introduced the concept of dimensional data marts for retail. In 1983, <\/span><b>Teradata<\/b><span style=\"font-weight: 400;\"> launched a database management system specifically designed for decision support.<\/span><\/p><p><span style=\"font-weight: 400;\">However, it was not until the late 1980s that the first enterprise data warehouse emerged, developed by <\/span><b>Paul Murphy and Barry Devlin of IBM<\/b><span style=\"font-weight: 400;\">.<\/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-57cd1bd e-flex e-con-boxed e-con\" data-id=\"57cd1bd\" 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-3a6415b elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"3a6415b\" 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-md\" href=\"https:\/\/datascientest.com\/en\/data-engineer-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\">Start a Data Engineer training<\/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-b2381e1 e-flex e-con-boxed e-con\" data-id=\"b2381e1\" 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-8c5f22a elementor-widget elementor-widget-heading\" data-id=\"8c5f22a\" 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\">\u200bHow does a data warehouse work ?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8d17f2 elementor-widget elementor-widget-text-editor\" data-id=\"a8d17f2\" 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;\">A data warehouse works like a <\/span><b>central repository<\/b><span style=\"font-weight: 400;\">. The information comes from one or more data sources, such as a transactional system or other relational databases.<\/span><\/p><p style=\"padding-left: 55px;\"><i>The data can be structured, semi-structured or unstructured. Once ingested into the Warehouse, it is processed and transformed. Users can then access it using business intelligence tools, SQL clients or spreadsheets.<\/i><\/p><p><span style=\"font-weight: 400;\">By aggregating information in one place, a company can gain a <\/span><b>comprehensive view of its customer base<\/b><span style=\"font-weight: 400;\"> or other critical elements. Warehousing ensures that all information is reviewed.<\/span><\/p><p><span style=\"font-weight: 400;\">In addition, the <\/span><b>data warehouse makes data mining possible<\/b><span style=\"font-weight: 400;\">. This process involves looking for trends and patterns in the data and building on them to increase sales and revenue for the company.<\/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-c977b22 e-flex e-con-boxed e-con\" data-id=\"c977b22\" 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-b2c7400 elementor-widget elementor-widget-heading\" data-id=\"b2c7400\" 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\">What are the different types of Data Warehouses ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d034015 elementor-widget elementor-widget-text-editor\" data-id=\"d034015\" 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;\">There are three main categories of data warehouses. First of all, the \u201c<\/span><b>Enterprise Data Warehouses<\/b><span style=\"font-weight: 400;\">\u201d (EDW) are centralized data warehouses that support the company\u2019s decisions. Data is organized and presented in a unified way. EDWs also allow data to be <\/span><b>classified<\/b><span style=\"font-weight: 400;\"> according to their subject matter.<\/span><\/p><p><span style=\"font-weight: 400;\">The second major category of data warehouses is the<\/span><b> Operational Data Stores<\/b><span style=\"font-weight: 400;\"> (ODS). Data is updated in <\/span><b>real time<\/b><span style=\"font-weight: 400;\">, which is very useful for day-to-day activities such as saving reports and employee records.<\/span><\/p><p><span style=\"font-weight: 400;\">Finally, a <\/span><b>Data Mart<\/b><span style=\"font-weight: 400;\"> is a sub-category of Data Warehouse. It is designed for companies in the <\/span><b>sales or financial sectors<\/b><span style=\"font-weight: 400;\">. The data can be collected directly from the different sources.<\/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-d2a03f6 e-flex e-con-boxed e-con\" data-id=\"d2a03f6\" 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-569a182 elementor-widget elementor-widget-video\" data-id=\"569a182\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=FxQG65OhXAQ&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\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-e422b25 e-flex e-con-boxed e-con\" data-id=\"e422b25\" 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-64ca0f3 elementor-widget elementor-widget-heading\" data-id=\"64ca0f3\" 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\">The different components of a data warehouse<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a4dea64 elementor-widget elementor-widget-text-editor\" data-id=\"a4dea64\" 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;\">A data warehouse is based on <\/span><b>three main components <\/b>:<\/p><p><span style=\"font-weight: 400;\">The <\/span><b>load manager<\/b><span style=\"font-weight: 400;\"> allows all data extraction and loading operations to the warehouse. It is also in charge of <\/span><b>data transformation<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>Warehouse Manager <\/b><span style=\"font-weight: 400;\">performs operations related to data management within the warehouse. In particular, it<\/span><b> ensures data consistency<\/b><span style=\"font-weight: 400;\">, the creation of indexes and visualizations, the transformation and merging of data from several sources and archiving.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>query manager <\/b><span style=\"font-weight: 400;\">performs <\/span><b>operations related to the management of user queries<\/b><span style=\"font-weight: 400;\"> by directing them to the appropriate tables. Finally, the access tools allow end users to interact with the data warehouse. These tools can be used for reporting, querying, application development or data mining.<\/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-74acc09 e-flex e-con-boxed e-con\" data-id=\"74acc09\" 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-e3748aa elementor-widget elementor-widget-heading\" data-id=\"e3748aa\" 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\">Who uses a data warehouse ?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d123ce8 elementor-widget elementor-widget-text-editor\" data-id=\"d123ce8\" 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;\">Data Warehouses are used by <\/span><b>all companies with large volumes of data to process<\/b><span style=\"font-weight: 400;\">, or collecting data from multiple sources. They are also used by companies that want to access data more easily.<\/span><\/p><p><span style=\"font-weight: 400;\">For any company wishing to <\/span><b>take advantage<\/b><span style=\"font-weight: 400;\"> of decision support, data warehouses can be relevant. This is also the case for users looking to manage reports, graphs or charts from data. However, they are used in different ways <\/span><b>depending on the industry<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">In the<\/span><b> airline industry<\/b><span style=\"font-weight: 400;\">, airlines use them to analyze the profitability of routes, or to offer personalized promotions.\u00a0<\/span><\/p><p><b>Banks<\/b><span style=\"font-weight: 400;\"> use data warehousing to manage resources, conduct market research, or analyze the performance of their various products.<\/span><\/p><p><span style=\"font-weight: 400;\">In <\/span><b>healthcare<\/b><span style=\"font-weight: 400;\">, data warehouses are used to predict treatment outcomes, produce patient reports and share data with insurance companies.<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>public sector<\/b><span style=\"font-weight: 400;\"> uses this technology to collect data, or to analyze reports on taxes or health policy. In the <\/span><b>insurance industry<\/b><span style=\"font-weight: 400;\">, it is used to analyze market trends or customer behavior.<\/span><\/p><p><b>Retail chains<\/b><span style=\"font-weight: 400;\"> use data warehouses for distribution and marketing, inventory, logistics, to understand consumers and to optimize prices or launch personalized promotional campaigns.<\/span><\/p><p><span style=\"font-weight: 400;\">The same is true for the <\/span><b>telecom sector<\/b><span style=\"font-weight: 400;\"> where sales and distribution decisions are based on data, as are promotional campaigns. Finally, in the <\/span><b>tourism and hotel industry<\/b><span style=\"font-weight: 400;\">, advertising and promotional campaigns can be based on travelers\u2019 preferences and habits.<\/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-6a192bc e-flex e-con-boxed e-con\" data-id=\"6a192bc\" 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-039673c elementor-widget elementor-widget-video\" data-id=\"039673c\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=zTs5zjSXnvs&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\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-96a6920 e-flex e-con-boxed e-con\" data-id=\"96a6920\" 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-5ee4910 elementor-widget elementor-widget-heading\" data-id=\"5ee4910\" 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 and disadvantages of data warehouses\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f9fcea6 elementor-widget elementor-widget-text-editor\" data-id=\"f9fcea6\" 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;\">Data warehouses have their advantages and disadvantages. They are very useful in allowing companies to <\/span><b>quickly and easily access data<\/b><span style=\"font-weight: 400;\"> from multiple sources in a centralized manner.<\/span><\/p><p><span style=\"font-weight: 400;\">With these tools, it is possible to access consistent and up-to-date information about all the company\u2019s activities. They also allow you to <\/span><b>generate reports and perform querie<\/b><span style=\"font-weight: 400;\">s to interrogate the data.<\/span><\/p><p><span style=\"font-weight: 400;\">In general, a <\/span><b>data warehouse reduces the time needed for data analysis<\/b><span style=\"font-weight: 400;\"> and reporting and makes these tasks easier. Finally, with large volumes of historical data, users can analyze trends over different time periods to <\/span><b>make<\/b> <b>predictions<\/b><span style=\"font-weight: 400;\"> for the future.<\/span><\/p><p><span style=\"font-weight: 400;\">However, data warehouses also have their <\/span><b>drawbacks<\/b><span style=\"font-weight: 400;\">. First of all, it is not an ideal solution for unstructured data. In addition, creating and implementing a data warehouse is time-consuming and often <\/span><b>requires a lot of work<\/b><span style=\"font-weight: 400;\">. Paradoxically, a warehouse can quickly become obsolete.<\/span><\/p><p><span style=\"font-weight: 400;\">Furthermore, it is difficult to make changes in data types, data source schemas, indexes and queries. Using such a platform can be too complex for the average user.<\/span><\/p><p><span style=\"font-weight: 400;\">As a result, organizations must deploy many resources to train employees and implement the Warehouse. It is therefore<\/span><b> important to weigh the pros and cons <\/b><span style=\"font-weight: 400;\">before deciding to use this type of solution.<\/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-eecf898 e-flex e-con-boxed e-con\" data-id=\"eecf898\" 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-9940e30 elementor-widget elementor-widget-heading\" data-id=\"9940e30\" 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\">How to learn how to use a data warehouse ?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b052138 elementor-widget elementor-widget-text-editor\" data-id=\"b052138\" 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;\">To learn how to use a Data Warehouse, you can turn to the <\/span><b>DataScientest training courses<\/b><span style=\"font-weight: 400;\">. You can discover how to master these tools through our different programs: <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">Data Scientist<\/a><\/strong><\/span><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/datascientest.com\/en\/data-analyst-course\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Data Analyst<\/strong><\/span>,<\/span><\/a> <span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/data-engineer-course\">Data Engineer<\/a><\/strong><\/span><span style=\"font-weight: 400;\">\u2026<\/span><\/p><p><span style=\"font-weight: 400;\">The Data Warehouse is at the heart of the data science professions, and our different courses offer you the opportunity to learn how to use them. For example, you can discover <\/span><b>Snowflake<\/b><span style=\"font-weight: 400;\">, the Data Warehouse available on the Cloud.<\/span><\/p><p><span style=\"font-weight: 400;\">Our training courses adopt an innovative <\/span><b>Blended Learning approach<\/b><span style=\"font-weight: 400;\">, a hybrid between face-to-face and distance learning, and can be taken as an intensive BootCamp or as Continuing Education. They lead to a degree certified by the <\/span><b>Sorbonne University<\/b><span style=\"font-weight: 400;\">.<\/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-17dc756 e-flex e-con-boxed e-con\" data-id=\"17dc756\" 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-7a1eb0b elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"7a1eb0b\" 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-md\" 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\">Discover how to manage Data <\/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-4a29a74 e-flex e-con-boxed e-con\" data-id=\"4a29a74\" 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-555ef3a elementor-widget elementor-widget-html\" data-id=\"555ef3a\" 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\": \"What is a Data Warehouse ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"A data warehouse is a platform used to collect and analyze data from multiple heterogeneous sources. 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Discover everything you need to know about this technology at the heart of Data Science: definition, operation, history, use cases, training\u2026 What is a Data Warehouse ?\u200b A data warehouse is a platform used to collect and analyze data from multiple [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":42401,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2412],"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>Data Warehouse : Definition, main concepts and use cases<\/title>\n<meta name=\"description\" content=\"A Data Warehouse is used to store large quantities of data, in order to process and exploit them. 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