{"id":173780,"date":"2023-11-26T10:51:09","date_gmt":"2023-11-26T09:51:09","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=173780"},"modified":"2023-11-26T11:01:48","modified_gmt":"2023-11-26T10:01:48","slug":"datamart-key-characteristics-and-challenges","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/datamart-key-characteristics-and-challenges","title":{"rendered":"Datamart: Key characteristics and challenges"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"173780\" class=\"elementor elementor-173780\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e097f45 e-flex e-con-boxed e-con\" data-id=\"e097f45\" 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-0ef74d3 elementor-widget elementor-widget-heading\" data-id=\"0ef74d3\" 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 management of Big Data has become a decisive challenge for companies, which need to have a high level of visibility over the flow of data produced, and to be able to respond to specific needs linked to different business lines. In a wide variety of business contexts, access to specialized data ordered according to criteria defined by users and business specialists is becoming essential, and can provide decisive competitive advantages.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c2658a9 elementor-widget elementor-widget-text-editor\" data-id=\"c2658a9\" 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>The Datamart is the tool that meets this need: that&#8217;s why companies are multiplying their strategic Datamarts.<\/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-6c6ba92 e-flex e-con-boxed e-con\" data-id=\"6c6ba92\" 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-9f61cd7 elementor-widget elementor-widget-heading\" data-id=\"9f61cd7\" 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 is a Datamart?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2e9125f elementor-widget elementor-widget-text-editor\" data-id=\"2e9125f\" 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>Datamart<\/strong>, or data store, has become an essential tool within a growing number of companies to ensure the rapid processing of data by their business experts.<\/p><p>The strength of the Datamart lies in the fact that it gathers specialized data intended for specific professional activities. Professionals can access it and quickly find, in an organized form, the information they need to make decisions, develop business strategies, and more. The Datamart can be considered a <a href=\"https:\/\/datascientest.com\/en\/data-warehouse-2\">subset of a Data Warehouse intended for specific categories of users.<\/a><\/p><p>Indeed, while the <a href=\"https:\/\/datascientest.com\/en\/snowflake-training-master-the-1st-cloud-data-warehouse\">Data Warehouse collects all the raw data<\/a> produced by a company to sort and organize it, the Datamart contains sorted, aggregated, and organized data according to business uses or specific domains. It is accessed by professionals with well-defined and pre-known needs.<\/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-d1e396c elementor-widget elementor-widget-image\" data-id=\"d1e396c\" 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<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\/2022\/11\/SCHEMA_DWH_DATAMART.png\" 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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9c92d54 e-flex e-con-boxed e-con\" data-id=\"9c92d54\" 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-7aeab58 elementor-widget elementor-widget-heading\" data-id=\"7aeab58\" 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 Datamart?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e1961f3 elementor-widget elementor-widget-text-editor\" data-id=\"e1961f3\" 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>operation of the datamart<\/strong> has been theorized according to two different schools of thought by two computer science researchers:<strong> Bill Inmon and Ralph Kimball.<\/strong> The difference between the two schools is the positioning of the datamart within a company&#8217;s databases.<\/p><p>According to Bill Inmon, the datamart corresponds to a data stream that comes from the Data Warehouse and is sorted according to specific requirements. Therefore, the Datamart contains specialized data intended to be used by business experts.<\/p><p>For Bill Inmon, the<strong> Datamart occupies a peripheral position<\/strong> to the Data Warehouse. In contrast, according to the approach proposed by Ralph Kimball, the datamart is at the very core of the Data Warehouse. In other words, according to this approach, the Data Warehouse itself is composed of several datamarts that group aggregated specialized data.<\/p><p>Both approaches converge in a vision of the datamart as a specialized and organized <strong>subset of a Data Warehouse.<\/strong><\/p><p>Datamarts can be classified into three groups based on their relationship with the Data Warehouse. We find dependent <strong>datamarts, independent datamarts, and hybrid datamarts.<\/strong><\/p><ol><li>The <strong>dependent datamart<\/strong> is strictly connected; it was created from the Data Warehouse, representing a subset of it.<\/li><li>The<strong> independent datamart<\/strong> was not created from the Data Warehouse, and its source may be different.<\/li><li>Finally, the <strong>hybrid datamart<\/strong> allows the integration of sources from both the main Datamart and other operational systems.<\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd89768 elementor-widget elementor-widget-image\" data-id=\"dd89768\" 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\/2022\/11\/SCHEMA_DWH_DATAMART_2.png\" 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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d490c32 e-flex e-con-boxed e-con\" data-id=\"d490c32\" 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-f76a86c elementor-widget elementor-widget-heading\" data-id=\"f76a86c\" 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\">Datamart structure and benefits<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2bb01a elementor-widget elementor-widget-text-editor\" data-id=\"b2bb01a\" 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>Datamarts<\/strong> can be structured using different schemas, with the most popular being the star schema and the snowflake schema. The star schema has the advantage of requiring fewer joins when writing queries because there is no dependency between dimensions. On the other hand, the <strong>snowflake structure<\/strong> requires less storage space but has a more complex architecture.<\/p><p>Datamarts offer significant advantages that have contributed to their popularity. First, they allow working with smaller and more coherent portions of data. This makes searching and analyzing data easier and faster.<\/p><p>Furthermore, by <a href=\"https:\/\/datascientest.com\/en\/olap-everything-you-need-to-know-about-this-database-organization\">organizing data into multiple specialized blocks<\/a> and isolating them from their sources, congestion in the Data Warehouse can be avoided. With such a setup, different professionals within the same organization can find the information they need in the Datamart dedicated to their field of work instead of searching in the Data Warehouse.<\/p><p>Moreover, thanks to this organization, users can have quick access to diverse data, knowing in which Datamart it is categorized. Due to its organization and reduced dimensions, managing and maintaining a Datamart is much faster and simplified compared to managing a Data Warehouse.<\/p><p>Another advantage of the Datamart is its user-friendliness. End-users can easily access information without necessarily needing to have knowledge of the entire Data Warehouse or compile complex queries.<\/p><p>Finally, the fact that data is aggregated and organized based on predefined criteria allows for quick analysis of key trends and, therefore, the ability to quickly adopt operational strategies.<\/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-e6b70b0 e-flex e-con-boxed e-con\" data-id=\"e6b70b0\" 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-401e376 elementor-widget elementor-widget-heading\" data-id=\"401e376\" 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 do you build a Datamart?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d4cb63c elementor-widget elementor-widget-text-editor\" data-id=\"d4cb63c\" 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>Often, a <a href=\"https:\/\/datascientest.com\/en\/data-scientist-job-all-about\">Data Scientist can work with a pre-established datamart.<\/a> Other times, they may need to create one to facilitate data processing and decision-making within their company.<\/p><p>Being able to harness the necessary skills to create a Datamart is an important asset for an experienced Data Scientist or a beginner.<a href=\"https:\/\/datascientest.com\/en\/essential-data-scientist-tools-for-your-daily-workflow\"> To create a Datamart, a Data Scientist can proceed in stages.<\/a><\/p><p>Firstly, they must design a robust, accessible, and functional Datamart. To do this, they need to identify both the data produced by the company, their various sources, and the key needs of different departments. They then define the subsets in which to group the data, namely their basic schema. They subsequently organize the logical layout of the schemas and their physical structure.<\/p><p>After the design work, the <a href=\"https:\/\/datascientest.com\/en\/lead-data-scientist-description-of-the-role\">Data Scientist begins to build the database<\/a> and its logical structure. It is during this stage that they create tables, indexes, and access controls.<\/p><p>The third step is to populate the datamart by transferring data from various sources. The <a href=\"https:\/\/datascientest.com\/en\/data-scientist-vs-data-analyst-what-are-the-main-differences\">Data Scientist<\/a> must be careful to clean and organize the data before integrating it into the datamart.<\/p><p>The fourth step involves creating a structure that allows easy and functional access to the data for business experts. Optionally, the Data Scientist can <a href=\"https:\/\/datascientest.com\/en\/api-the-path-to-seamless-integration\">configure an API<\/a> or interfaces to facilitate data usage and access.<\/p><p>Finally, the Data Scientist must manage the Datamart by controlling access,<a href=\"https:\/\/datascientest.com\/en\/data-sources-understanding-the-definition-and-inner-workings\"> adding relevant new data<\/a>, and handling failures.<\/p><p>By training for the role of a Data Scientist, you will learn how to leverage these skills to enhance data management within your company.<\/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-b04be44 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"b04be44\" 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\">Discover our Data Scientist 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-28a2eb8 e-flex e-con-boxed e-con\" data-id=\"28a2eb8\" 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-6e8d631 elementor-widget elementor-widget-html\" data-id=\"6e8d631\" 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\": \"What is a Datamart?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The Datamart, or data store, has become an essential tool within a growing number of companies to ensure rapid data processing on the part of their business experts.\nThe Datamart's strength lies in the fact that it brings together specialized data intended for specific professional activities. Professionals can therefore access it and quickly find the information they need, in an orderly form, to make decisions, develop business strategies and so on. The datamart can therefore be seen as a subset of a data warehouse designed for specific categories of users.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"How do I build a Datamart?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Often a Data Scientist can work from a pre-built datamart. At other times, he or she may be called upon to create one in order to facilitate data processing and decision-making within the company.\nBeing able to mobilize the skills needed to create a Datamart is therefore an important asset for both experienced and novice Data Scientists. 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In a wide variety of business contexts, access to specialized data ordered according to [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":173785,"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>Datamart: Key characteristics and challenges<\/title>\n<meta name=\"description\" content=\"Here are some key characteristics and points about datamarts: Focused Data: Datamarts are designed to store data related to a specific ...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/datamart-key-characteristics-and-challenges\" \/>\n<meta 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