{"id":90706,"date":"2025-04-16T17:06:22","date_gmt":"2025-04-16T15:06:22","guid":{"rendered":"https:\/\/www.pikon.com\/?p=90706"},"modified":"2025-04-16T17:06:22","modified_gmt":"2025-04-16T15:06:22","slug":"how-to-build-a-future-proof-data-warehouse-architecture","status":"publish","type":"post","link":"https:\/\/www.pikon.com\/en\/blog\/how-to-build-a-future-proof-data-warehouse-architecture\/","title":{"rendered":"How to build a future-proof Data Warehouse Architecture"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"90706\" class=\"elementor elementor-90706\" 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data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-31b5111 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"31b5111\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f7a1e6d elementor-toc--minimized-on-tablet elementor-widget elementor-widget-global elementor-global-75893 elementor-global-75856 elementor-widget-table-of-contents\" data-id=\"f7a1e6d\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;exclude_headings_by_selector&quot;:&quot;.bdt-ep-advanced-icon-box-title, .no-table-of-content&quot;,&quot;headings_by_tags&quot;:[&quot;h2&quot;,&quot;h3&quot;,&quot;h4&quot;,&quot;h5&quot;],&quot;container&quot;:&quot;.elementor-widget-theme-post-content&quot;,&quot;no_headings_message&quot;:&quot;No headings were found on this page.&quot;,&quot;marker_view&quot;:&quot;numbers&quot;,&quot;minimize_box&quot;:&quot;yes&quot;,&quot;minimized_on&quot;:&quot;tablet&quot;,&quot;hierarchical_view&quot;:&quot;yes&quot;,&quot;min_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"table-of-contents.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-toc__header\">\n\t\t\t\t\t\t<h4 class=\"elementor-toc__header-title\">\n\t\t\t\tContent\t\t\t<\/h4>\n\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-toc__toggle-button elementor-toc__toggle-button--expand\" role=\"button\" tabindex=\"0\" aria-controls=\"elementor-toc__f7a1e6d\" aria-expanded=\"true\" aria-label=\"Open table of contents\"><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/div>\n\t\t\t\t<div class=\"elementor-toc__toggle-button elementor-toc__toggle-button--collapse\" role=\"button\" tabindex=\"0\" aria-controls=\"elementor-toc__f7a1e6d\" aria-expanded=\"true\" aria-label=\"Close table of contents\"><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<div id=\"elementor-toc__f7a1e6d\" class=\"elementor-toc__body\">\n\t\t\t<div class=\"elementor-toc__spinner-container\">\n\t\t\t\t<i class=\"elementor-toc__spinner eicon-animation-spin eicon-loading\" aria-hidden=\"true\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8c2e392 elementor-widget elementor-widget-heading\" data-id=\"8c2e392\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is a Data Warehouse Architecture?\n<\/h2>\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-43819d7 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"43819d7\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ea2b0c5 elementor-widget elementor-widget-text-editor\" data-id=\"ea2b0c5\" data-element_type=\"widget\" data-e-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\t\t<p class=\"\" data-start=\"50\" data-end=\"416\">Imagine you are the IT director of a mid-sized company. Your responsibility is to ensure that all departments\u2014from finance to marketing\u2014have access to the data they need to make informed decisions. But suddenly, complaints start piling up: reports take too long to generate, data is inconsistent, and the IT department is overwhelmed with requests. Sound familiar?<\/p><p class=\"\" data-start=\"418\" data-end=\"758\">This is where data warehouse architecture comes into play. It serves as the backbone of any data-driven organisation, determining whether data becomes a burden or a valuable asset. In this blog post, you will learn what data warehouse architecture is, why it is so important, and how modern solutions can help overcome today\u2019s challenges.<\/p><p class=\"\" data-start=\"760\" data-end=\"1053\">A data warehouse architecture is the structural framework that defines how data is collected, stored, processed, and used within an organisation. It consists of multiple layers and components working together to integrate, cleanse, and prepare data from various sources for analysis.<\/p><p class=\"\" data-start=\"1055\" data-end=\"1273\">The architecture can vary depending on the organisation\u2019s needs\u2014from simple single-layer designs to complex, distributed systems. However, the ultimate goal remains the same: transforming data into actionable insights.<\/p><p class=\"\" data-start=\"1055\" data-end=\"1273\">Data Warehouse Architectures can be divided into two main categories:<strong><br \/><\/strong><\/p><p><strong>1. Structure-Oriented Architectures<\/strong> \u2013 These differ based on the number of layers used:<\/p><ul><li>Single-Layer Architecture<\/li><li>Two-Layer Architecture<\/li><li>Three-Layer Architecture<\/li><\/ul><p><strong>2. Function-Oriented Architectures <\/strong>\u2013 These differ based on the type of main components:<\/p><ul><li data-start=\"100\" data-end=\"128\">Independent Data Marts<\/li><li data-start=\"131\" data-end=\"153\">Bus Architecture<\/li><li data-start=\"156\" data-end=\"188\">Hub-and-Spoke Architecture<\/li><li data-start=\"191\" data-end=\"221\">Centralised Architecture<\/li><li data-start=\"224\" data-end=\"254\">Distributed Architecture<\/li><\/ul><p>Below, we introduce the different architectures and explain their characteristics, as well as their advantages and disadvantages.<\/p>\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-f21238e e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"f21238e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-56a3593 elementor-widget elementor-widget-heading\" data-id=\"56a3593\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Structure-Oriented Architectures<\/h3>\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-8d0fbe0 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"8d0fbe0\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-adb43e9 elementor-widget elementor-widget-text-editor\" data-id=\"adb43e9\" data-element_type=\"widget\" data-e-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\t\t<h4><strong>Single-Layer Architecture<\/strong><\/h4><p>This architecture is rarely found in practice. Its primary goal is to <strong>avoid redundancies by minimising data storage<\/strong>. However, a major weakness of this structure is the lack of separation between <strong>analytical and transactional data<\/strong> processing. As a result, it is not suitable for complex analyses or large volumes of data.<\/p>\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-07ffe3a e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"07ffe3a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4220b81 elementor-widget elementor-widget-image\" data-id=\"4220b81\" data-element_type=\"widget\" data-e-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 fetchpriority=\"high\" decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Single-Layer-Architecture-768x432.png\" class=\"attachment-medium_large size-medium_large wp-image-90711\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Single-Layer-Architecture-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Single-Layer-Architecture-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Single-Layer-Architecture-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Single-Layer-Architecture-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Single-Layer-Architecture.png 1280w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2e0603d e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"2e0603d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4b226df elementor-widget elementor-widget-text-editor\" data-id=\"4b226df\" data-element_type=\"widget\" data-e-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\t\t<h4><strong>Two-Layer Architecture<\/strong><\/h4><p>This architecture consists of a<strong> source system layer<\/strong> and a <strong>data warehouse layer<\/strong>, separated by a <strong>staging layer<\/strong> for all data sources. This ensures that all data is properly <strong>cleansed and formatted<\/strong> before being loaded into the data warehouse. However, this architecture is less scalable and is better suited for small to mid-sized companies.<\/p>\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-0d8e999 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"0d8e999\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0a09e93 elementor-widget elementor-widget-image\" data-id=\"0a09e93\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Two-Layer-Architektur-768x432.png\" class=\"attachment-medium_large size-medium_large wp-image-90714\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Two-Layer-Architektur-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Two-Layer-Architektur-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Two-Layer-Architektur-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Two-Layer-Architektur-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Two-Layer-Architektur.png 1280w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b4ce1ab e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"b4ce1ab\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9fab1e0 elementor-widget elementor-widget-text-editor\" data-id=\"9fab1e0\" data-element_type=\"widget\" data-e-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\t\t<h4><strong>Three-Layer Architecture<\/strong><\/h4><article class=\"group\/turn w-full text-token-text-primary focus-visible:outline-none\" dir=\"auto\" tabindex=\"-1\" data-testid=\"conversation-turn-70\" data-scroll-anchor=\"false\"><div class=\"text-base my-auto mx-auto py-5 px-6\"><div class=\"mx-auto flex flex-1 text-base gap-4 md:gap-5 lg:gap-6 md:max-w-3xl lg:max-w-[40rem] xl:max-w-[48rem]\"><div class=\"group\/conversation-turn relative flex w-full min-w-0 flex-col agent-turn @xs\/thread:px-0 @sm\/thread:px-1.5 @md\/thread:px-4\"><div class=\"relative flex-col gap-1 md:gap-3\"><div class=\"flex max-w-full flex-col flex-grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 whitespace-normal break-words text-start [.text-message+&amp;]:mt-5\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"d927ee99-2824-4247-b43c-4ad17395728c\" data-message-model-slug=\"gpt-4o-mini\"><div class=\"flex w-full flex-col gap-1 empty:hidden first:pt-[3px]\"><div class=\"markdown prose w-full break-words dark:prose-invert light\"><p class=\"\" data-start=\"39\" data-end=\"106\">This architecture divides the structure into three physical layers:<\/p><ol data-start=\"0\" data-end=\"261\"><li class=\"\" data-start=\"0\" data-end=\"71\"><p class=\"\" data-start=\"3\" data-end=\"71\"><strong data-start=\"3\" data-end=\"26\">Source System Layer<\/strong> \u2013 Capturing raw data from various systems.<\/p><\/li><li class=\"\" data-start=\"72\" data-end=\"177\"><p class=\"\" data-start=\"75\" data-end=\"177\"><strong data-start=\"75\" data-end=\"99\">Transformation Layer<\/strong> \u2013 Cleansing, aggregating, and converting data into operational information.<\/p><\/li><li class=\"\" data-start=\"178\" data-end=\"261\"><p class=\"\" data-start=\"181\" data-end=\"261\"><strong data-start=\"181\" data-end=\"205\">Data Warehouse Layer<\/strong> \u2013 Storing and providing data for analytical purposes.<\/p><\/li><\/ol><p class=\"\" data-start=\"263\" data-end=\"393\">This form is the most widely used and is particularly suitable for <strong>large companies that require high data quality and integration<\/strong>.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/article>\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-adf81ab e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"adf81ab\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ce49a08 elementor-widget elementor-widget-image\" data-id=\"ce49a08\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"432\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Three-Layer-Architecture-768x432.png\" class=\"attachment-medium_large size-medium_large wp-image-90717\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Three-Layer-Architecture-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Three-Layer-Architecture-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Three-Layer-Architecture-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Three-Layer-Architecture-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Three-Layer-Architecture.png 1280w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-065a4ff e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"065a4ff\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e43c9ad elementor-widget elementor-widget-heading\" data-id=\"e43c9ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Function-Oriented Architectures<\/h3>\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-bb07c82 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"bb07c82\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0919161 elementor-widget elementor-widget-heading\" data-id=\"0919161\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Independent Data Marts<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52b62f0 elementor-widget elementor-widget-text-editor\" data-id=\"52b62f0\" data-element_type=\"widget\" data-e-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\t\t<p>This architecture consists of several <strong>independent data marts<\/strong> that have been developed separately. Since there is no integration between them, they often have inconsistent data structures, making enterprise-wide analysis difficult. This architecture is usually replaced by a better-integrated solution.<\/p>\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-8c5e422 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"8c5e422\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-20981c1 elementor-widget elementor-widget-image\" data-id=\"20981c1\" data-element_type=\"widget\" data-e-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 loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Independent-Data-Marts-Architecture-1024x576.png\" class=\"attachment-large size-large wp-image-90720\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Independent-Data-Marts-Architecture-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Independent-Data-Marts-Architecture-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Independent-Data-Marts-Architecture-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Independent-Data-Marts-Architecture-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Independent-Data-Marts-Architecture.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e4e82a3 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"e4e82a3\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1b1aca7 elementor-widget elementor-widget-heading\" data-id=\"1b1aca7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Bus Architecture<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f90b954 elementor-widget elementor-widget-text-editor\" data-id=\"f90b954\" data-element_type=\"widget\" data-e-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\t\t<p>The <strong data-start=\"4\" data-end=\"24\">Bus Architecture<\/strong>, recommended by Ralph Kimball, is similar to the architecture of independent data marts, but with a significant improvement: the data marts are logically integrated, allowing for an enterprise-wide view of the data.<\/p>\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-cd1af72 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"cd1af72\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d08ed4c elementor-widget elementor-widget-image\" data-id=\"d08ed4c\" data-element_type=\"widget\" data-e-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 loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Bus-Architecture-1024x576.png\" class=\"attachment-large size-large wp-image-90723\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Bus-Architecture-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Bus-Architecture-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Bus-Architecture-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Bus-Architecture-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Bus-Architecture.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9e396d0 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"9e396d0\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-49985b4 elementor-widget elementor-widget-heading\" data-id=\"49985b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Hub-and-Spoke Architecture<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0d79ba elementor-widget elementor-widget-text-editor\" data-id=\"b0d79ba\" data-element_type=\"widget\" data-e-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\t\t<p class=\"\" data-start=\"40\" data-end=\"72\">This architecture consists of:<\/p><ul><li data-start=\"76\" data-end=\"149\">A central <strong data-start=\"86\" data-end=\"121\">Enterprise Data Warehouse (Hub)<\/strong> that stores all raw data.<\/li><li data-start=\"152\" data-end=\"263\">Multiple <strong data-start=\"161\" data-end=\"184\">Data Marts (Spokes)<\/strong> that are supplied with cleansed, aggregated data from the central warehouse.<\/li><li data-start=\"266\" data-end=\"354\">A <strong data-start=\"268\" data-end=\"292\">Transformation Layer<\/strong> that serves as an intermediate storage for normalised data.<\/li><\/ul><p class=\"\" data-start=\"356\" data-end=\"464\">This architecture is particularly scalable and is suitable for companies dealing with large volumes of data.<\/p>\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-22eabc6 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"22eabc6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ed0dac1 elementor-widget elementor-widget-image\" data-id=\"ed0dac1\" data-element_type=\"widget\" data-e-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 loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Hub-And-Spoke-Architecture-1024x576.png\" class=\"attachment-large size-large wp-image-90726\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Hub-And-Spoke-Architecture-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Hub-And-Spoke-Architecture-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Hub-And-Spoke-Architecture-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Hub-And-Spoke-Architecture-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Hub-And-Spoke-Architecture.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9f1ee79 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"9f1ee79\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d44fc25 elementor-widget elementor-widget-heading\" data-id=\"d44fc25\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Centralised Architecture<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-508c79f elementor-widget elementor-widget-text-editor\" data-id=\"508c79f\" data-element_type=\"widget\" data-e-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\t\t<p>The centralised architecture, recommended by Bill Inmon, is a specific form of the <strong data-start=\"121\" data-end=\"151\">Hub-and-Spoke Architecture<\/strong>. The key difference is that there are no dependent data marts. Instead, a central data warehouse contains all the data and makes it available for analysis. This architecture offers high data quality and integration but can incur high implementation costs.<\/p>\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-9a3b820 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"9a3b820\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-91fbd67 elementor-widget elementor-widget-image\" data-id=\"91fbd67\" data-element_type=\"widget\" data-e-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 loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Centralised-Architecture-1024x576.png\" class=\"attachment-large size-large wp-image-90729\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Centralised-Architecture-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Centralised-Architecture-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Centralised-Architecture-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Centralised-Architecture-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Centralised-Architecture.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f408159 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"f408159\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7e7d291 elementor-widget elementor-widget-heading\" data-id=\"7e7d291\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Distributed architecture<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f35a295 elementor-widget elementor-widget-text-editor\" data-id=\"f35a295\" data-element_type=\"widget\" data-e-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\t\t<p class=\"\" data-start=\"38\" data-end=\"178\">The distributed architecture is used when multiple existing data warehouses or data marts need to be integrated. This is achieved through:<\/p><ul><li data-start=\"182\" data-end=\"198\"><strong data-start=\"182\" data-end=\"196\">Joint Keys<\/strong><\/li><li data-start=\"201\" data-end=\"233\"><strong data-start=\"201\" data-end=\"231\">Global Metadata Management<\/strong><\/li><li data-start=\"236\" data-end=\"261\"><strong data-start=\"236\" data-end=\"259\">Distributed Queries<\/strong><\/li><\/ul><p class=\"\" data-start=\"263\" data-end=\"371\">This architecture is particularly suitable for companies with distributed locations or dynamic requirements.<\/p>\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-c58bd73 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"c58bd73\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-94a2d0d elementor-widget elementor-widget-image\" data-id=\"94a2d0d\" data-element_type=\"widget\" data-e-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 loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Distributed-architecture-1024x576.png\" class=\"attachment-large size-large wp-image-90732\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Distributed-architecture-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Distributed-architecture-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Distributed-architecture-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Distributed-architecture-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/Distributed-architecture.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-07de8dc e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"07de8dc\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-93a0229 elementor-widget elementor-widget-text-editor\" data-id=\"93a0229\" data-element_type=\"widget\" data-e-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\t\t<p>The choice of the right data warehouse architecture depends on various factors, including scalability, integration requirements, and existing IT infrastructures.<br data-start=\"161\" data-end=\"164\" \/>While centralised architectures offer high data quality, distributed architectures provide greater flexibility. Companies should carefully evaluate their individual requirements before deciding on an architecture.<\/p>\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-456796f e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"456796f\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a30376b elementor-widget elementor-widget-heading\" data-id=\"a30376b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why is Data Warehouse Architecture important?\n<\/h2>\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-c276982 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"c276982\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-166d286 elementor-widget elementor-widget-text-editor\" data-id=\"166d286\" data-element_type=\"widget\" data-e-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\t\t<p class=\"\" data-start=\"59\" data-end=\"312\">In today\u2019s data-driven business world, data warehouse architecture forms the backbone for informed business decisions. Companies face the challenge of integrating a variety of data from different sources and making it available in a consistent format.<\/p><p class=\"\" data-start=\"314\" data-end=\"486\">A well-designed architecture ensures that this data is of high quality, up-to-date, and traceable, providing the foundation for accurate analyses and strategic decisions.<\/p><p class=\"\" data-start=\"488\" data-end=\"982\">The central role of a data warehouse lies in enabling decision-makers not only to access historical and current data quickly but also to lay the groundwork for the use of modern Business Intelligence (BI) tools. By consistently structuring and preparing the data, relationships that would otherwise be lost in data chaos become visible. Ultimately, this results in optimised decision-making and increased competitiveness, as data-driven strategies can be developed more quickly and efficiently.<\/p>\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-65bb7e8 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"65bb7e8\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c62195b elementor-widget elementor-widget-heading\" data-id=\"c62195b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">How is a Data Warehouse structured?<\/h2>\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-3f9ba04 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"3f9ba04\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1fa5d89 elementor-widget elementor-widget-text-editor\" data-id=\"1fa5d89\" data-element_type=\"widget\" data-e-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\t\t<p>The construction of a data warehouse architecture takes place in several clearly defined steps to ensure that data is efficiently captured, processed, and made available for analysis.<br data-start=\"224\" data-end=\"227\" \/>First, raw data is collected from various source systems, including internal databases, external applications, and other digital data sources. This data forms the basis for all analyses.<br data-start=\"413\" data-end=\"416\" \/>Next, data integration is carried out through the ETL process (Extract, Transform, Load). In this step, the data is extracted, cleaned, and converted into a uniform format. A staging area serves as an intermediate storage to check the data quality before it is loaded into the central data warehouse.<br data-start=\"716\" data-end=\"719\" \/>The core of the architecture is the database, which is specially optimised for analytical queries. The data is structured into fact tables and dimension tables to enable fast and accurate analysis. Additionally, data marts are used \u2013 subject-specific data areas that specifically support individual departments and provide detailed insights.<br data-start=\"1060\" data-end=\"1063\" \/>The final step is the BI layer, which serves as the interface between the prepared data and the users. Modern BI tools enable the creation of interactive dashboards, reports, and visualisations that support data-driven decisions.<br data-start=\"1292\" data-end=\"1295\" \/>With this structured architecture, companies can not only process and store large amounts of data efficiently but also continuously optimise and scale their analysis processes.<\/p>\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-eb5463d e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"eb5463d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2d3d0cd elementor-widget elementor-widget-image\" data-id=\"2d3d0cd\" data-element_type=\"widget\" data-e-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 loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/DWHA-general-1024x576.png\" class=\"attachment-large size-large wp-image-90735\" alt=\"\" srcset=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/DWHA-general-1024x576.png 1024w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/DWHA-general-300x169.png 300w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/DWHA-general-768x432.png 768w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/DWHA-general-600x338.png 600w, https:\/\/www.pikon.com\/wp-content\/uploads\/2025\/03\/DWHA-general.png 1280w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-66f145d e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"66f145d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dfa8a92 elementor-widget elementor-widget-heading\" data-id=\"dfa8a92\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">7 Success Factors for Building a Modern Data Warehouse Architecture<\/h2>\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-4dd328c e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"4dd328c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-1fd45b4 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"1fd45b4\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4cc2ea3 elementor-widget elementor-widget-text-editor\" data-id=\"4cc2ea3\" data-element_type=\"widget\" data-e-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\t\t<h3>Scalability and Performance<\/h3><p>A modern data warehouse architecture must be able to grow with the needs of the business. On-premise solutions like SAP BW\/4HANA provide sufficient performance for near-real-time processing of all data, thanks to their in-memory technology. Cloud-based solutions, such as SAP Datasphere, offer significant advantages in terms of flexibility, as they can scale without additional hardware.<br data-start=\"489\" data-end=\"492\" \/>Scalability applies not only to the volume of data but also to the number of users and the complexity of queries. A well-scalable architecture allows for both vertical growth (by adding additional resources to an existing system) and horizontal growth (by adding additional servers).<\/p><h3>Seamless Data Integration<\/h3><p>Data comes from various sources and needs to be harmonized. Solutions like SAP Datasphere enable seamless integration of data from different systems, allowing businesses to gain a unified view of their data. Integration involves not only the technical merging of data but also ensuring that the data is consistent and of high quality. This often requires the use of ETL (Extract, Transform, Load) tools that extract data from various sources, transform it, and load it into the data warehouse.<\/p><h3>Real-Time Analytics<\/h3><p>Real-time analytics is a must-have today. Modern data warehouses provide the ability to process and analyze data in real time, giving businesses a competitive edge. Real-time analytics allows companies to quickly respond to changes in the market or customer behavior. This requires an architecture that can handle large data volumes in real time without compromising performance.<\/p><h3>Cost Efficiency<\/h3><p>By leveraging cloud solutions, companies can significantly reduce the costs of data processing. Pay-as-you-go models and the ability to dynamically allocate resources make the cloud a cost-effective option. Additionally, businesses can achieve further cost savings by utilizing open-source tools and automating processes.<\/p><h3>Data Protection and Compliance<\/h3><p>With the increasing importance of data protection regulations such as the General Data Protection Regulation (GDPR), it is crucial that the data warehouse architecture meets security and compliance requirements. Modern solutions offer integrated security features and help ensure legal compliance. This includes data encryption, access controls, and regular data security audits.<\/p><h3>Cloud and Hybrid Solutions<\/h3><p>The cloud offers flexibility and scalability, but not every company can or wants to fully transition to the cloud. Hybrid solutions that combine on-premise and cloud systems offer the best of both worlds. These architectures allow companies to leverage the benefits of the cloud while keeping sensitive data stored locally.<\/p><h3>Self-Service BI and Usability<\/h3><p>Self-service BI tools enable end users to independently generate reports and perform analyses without relying on the IT department. This increases usability and relieves the IT team. Tools like Power BI and especially SAP Analytics Cloud provide intuitive user interfaces that allow even technically less-experienced users to conduct complex data analyses.<\/p>\t\t\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-c323b11 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"c323b11\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e49095c elementor-widget elementor-widget-heading\" data-id=\"e49095c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Modern data warehouse solutions from SAP<\/h2>\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-5d0dbaa e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"5d0dbaa\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-650ca1e elementor-widget elementor-widget-text-editor\" data-id=\"650ca1e\" data-element_type=\"widget\" data-e-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\t\t<h3><strong data-start=\"45\" data-end=\"61\">SAP BW\/4HANA<\/strong><\/h3><p>SAP BW\/4HANA is based on the powerful in-memory technology of SAP HANA and follows a multi-layered architecture that is specifically optimized for analytical applications. The core of the architecture is divided into the following layers:<\/p><ul><li><strong data-start=\"308\" data-end=\"343\">Data Acquisition and Extraction<\/strong><\/li><\/ul><p>Data is extracted from various source systems, such as ERP systems like SAP S\/4HANA or other relational databases. SAP-specific or generic extractors are used to ensure consistent and efficient data transfer.<\/p><ul><li><strong data-start=\"560\" data-end=\"590\">Staging and Transformation<\/strong><\/li><\/ul><p class=\"\" data-start=\"558\" data-end=\"866\">After extraction, the data is temporarily stored in a staging area. Here, the ETL process (Extract, Transform, Load) takes place, where data is cleaned, transformed, and converted into a uniform format. This step ensures data quality and prepares it for further modeling.<\/p><ul><li><strong data-start=\"870\" data-end=\"887\">Data Modeling<\/strong><\/li><\/ul><p>The transformed data is primarily organized into aDSOs (advanced DataStore Objects) as InfoProviders. These models enable the representation of business processes in terms of key figures, characteristics, and hierarchies, tailored specifically to analytical questions.<\/p><ul><li><strong data-start=\"1164\" data-end=\"1190\">Reporting and Analysis<\/strong><\/li><\/ul><p>At the top level, the modeled data is visualized and analyzed through reporting tools and business intelligence solutions, such as the SAP Analytics Cloud. This layer provides end users with intuitive options for creating reports and dashboards.<\/p><p class=\"\" data-start=\"1442\" data-end=\"2034\">As a guideline for building a BW\/4HANA Data Warehouse, the reference architecture <strong>LSA++ (Layered Scalable Architecture)<\/strong> is available. It optimizes the classic LSA architecture by reducing redundant data persistence and placing a stronger emphasis on virtual data models. The layers of the architecture\u2014from data acquisition and transformation to analysis\u2014become leaner and more efficient. By using Advanced DataStore Objects (aDSOs) and Composite Providers, LSA++ enables powerful, flexible, and maintainable data processing, specifically tailored to the in-memory technology of SAP HANA.<\/p><h3 data-start=\"1442\" data-end=\"2034\">SAP Datasphere<\/h3><p class=\"\" data-start=\"0\" data-end=\"322\">As a central component of the SAP Business Data Cloud, SAP Datasphere represents a modern, cloud-native approach to data warehousing. Its architecture is designed to unify heterogeneous data sources\u2014both SAP and non-SAP systems\u2014into a single, flexible data model. The key architectural components are:<\/p><ul><li data-start=\"324\" data-end=\"641\"><strong data-start=\"326\" data-end=\"366\">Data Integration and Virtualisation:<\/strong><\/li><\/ul><p>Instead of fully replicating data, SAP Datasphere enables a federated data architecture. Using data virtualization and modern connectors, data can be integrated in real-time or at regular intervals. This reduces administrative effort and ensures data is always up to date.<\/p><ul><li data-start=\"643\" data-end=\"992\"><strong data-start=\"645\" data-end=\"684\">Semantic Modeling and Data Catalog:<\/strong><\/li><\/ul><p>A central feature is the Business Data Fabric approach, in which data is harmonized through a unified, semantic layer. With the help of an integrated data catalog, data sources can be classified, linked, and provided with business context, making it easier for end users to intuitively access information.<\/p><ul><li data-start=\"994\" data-end=\"1307\"><strong data-start=\"996\" data-end=\"1024\">Spaces and Self-Service:<\/strong><\/li><\/ul><p>SAP Datasphere uses the concept of &#8220;Spaces,&#8221; where specific data models and use cases are represented. These environments allow both IT and business departments to independently model and analyze data. This fosters agile self-service analytics, relieving traditional IT processes.<\/p><ul><li data-start=\"1309\" data-end=\"1870\"><strong data-start=\"1311\" data-end=\"1350\">Seamless Integration with BI Tools:<\/strong><\/li><\/ul><p>A key advantage of SAP Datasphere is the concept of Seamless Planning, which ensures an uninterrupted connection between data analysis and planning. Through tight integration with the SAP Analytics Cloud, companies can not only analyze historical and current data but also create and adjust planning scenarios directly within the same system. This seamless connection of data integration, modeling, and planning ensures agile and collaborative decision-making without the need for manual data movement or duplication.<\/p><p class=\"\" data-start=\"1872\" data-end=\"2107\">With this modern architectural approach, SAP Datasphere offers businesses the flexibility to respond to dynamic market demands while maintaining a central, consistent data foundation\u2014a critical advantage in today\u2019s data-driven economy.<\/p><p class=\"\" data-start=\"2109\" data-end=\"2380\">Both architectures address different needs: While SAP BW\/4HANA focuses on proven, structured data processing in existing SAP environments, SAP Datasphere, as a cloud-based solution, opens up new opportunities for data integration, flexibility, and self-service analytics.<\/p><h3 data-start=\"2109\" data-end=\"2380\">SAP Business Data Cloud<\/h3><p class=\"\" data-start=\"0\" data-end=\"312\">The way companies store and analyze data is rapidly evolving. While traditional data warehouse architectures are still important, new technologies offer more flexibility and efficiency. Particularly exciting is the shift towards the Lakehouse model, which combines the benefits of data warehouses and data lakes.<\/p><p data-start=\"314\" data-end=\"338\"><strong>What is a Lakehouse?<\/strong><\/p><p class=\"\" data-start=\"340\" data-end=\"660\">Traditional data warehouses are powerful when it comes to processing structured data, meaning data that exists in clearly defined tables and columns. They guarantee high data quality but are often costly and less flexible when dealing with large volumes of data or unstructured data such as images, videos, or log files.<\/p><p class=\"\" data-start=\"662\" data-end=\"899\">A data lake, on the other hand, can store massive amounts of data\u2014whether structured, semi-structured, or unstructured. The downside is that without additional technology, there is no clear data structure, which makes analysis difficult.<\/p><p class=\"\" data-start=\"901\" data-end=\"952\">The Lakehouse combines the best of both worlds:<\/p><ul><li data-start=\"956\" data-end=\"1013\">Structured and unstructured data can be managed together.<\/li><li data-start=\"1016\" data-end=\"1101\">Data quality and consistency are ensured through modern technologies like Delta Lake.<\/li><li data-start=\"1104\" data-end=\"1200\">Real-time analytics and artificial intelligence (AI) can be directly applied to the stored data.<\/li><\/ul><p data-start=\"1202\" data-end=\"1262\"><strong>SAP Business Data Cloud and the future of Data Analytics<\/strong><\/p><p class=\"\" data-start=\"1264\" data-end=\"1432\">SAP takes it a step further with the SAP Business Data Cloud, making the Lakehouse model accessible to SAP customers. A key component in this is SAP Datasphere.<\/p><p class=\"\" data-start=\"1434\" data-end=\"1530\">A major advantage is the direct integration with Databricks Delta Lake and Apache Spark:<\/p><ul><li data-start=\"1534\" data-end=\"1639\"><strong data-start=\"1534\" data-end=\"1548\">Delta Lake<\/strong> ensures that data remains structured, traceable, and consistent even in an open data lake.<\/li><li data-start=\"1642\" data-end=\"1768\"><strong data-start=\"1642\" data-end=\"1658\">Apache Spark<\/strong> enables the rapid analysis of vast amounts of data\u2014both in real-time and for complex machine learning models.<\/li><li data-start=\"1771\" data-end=\"1921\"><strong data-start=\"1771\" data-end=\"1796\">Seamless Integration:<\/strong> SAP customers can link their existing systems to modern data platforms without having to overhaul their entire architecture.<\/li><\/ul><p class=\"\" data-start=\"1923\" data-end=\"2141\">Through this innovative integration, SAP offers a future-proof solution for businesses that want to leverage the best of traditional data warehouses and modern data lakes within a flexible and scalable Lakehouse model.<\/p>\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-9543ce4 e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"9543ce4\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aa68c1b elementor-widget elementor-widget-heading\" data-id=\"aa68c1b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h2>\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-612e01d e-ecs-flex e-flex e-con-boxed e-con e-parent\" data-id=\"612e01d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a072138 elementor-widget elementor-widget-text-editor\" data-id=\"a072138\" data-element_type=\"widget\" data-e-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\t\t<p class=\"\" data-start=\"19\" data-end=\"394\">The data warehouse architecture remains the central foundation for data-driven companies\u2014but it is evolving. While traditional architectures still provide stable, structured analyses, modern solutions like lakehouse models offer the flexibility needed for growing data volumes and new technologies like real-time analytics, artificial intelligence (AI), and machine learning.<\/p><p class=\"\" data-start=\"396\" data-end=\"754\">With the <strong data-start=\"405\" data-end=\"432\">SAP Business Data Cloud<\/strong> and <strong data-start=\"437\" data-end=\"455\">SAP Datasphere<\/strong>, SAP provides a future-proof platform that integrates both classic data warehouse structures and data lakes, along with AI-driven analytics. Companies benefit from an open, scalable architecture that can be flexibly adapted to new requirements without having to completely replace existing systems.<\/p><p class=\"\" data-start=\"756\" data-end=\"957\">The future belongs to hybrid and connected architectures\u2014companies that embrace modern data warehouse concepts today are laying the groundwork for faster, smarter, and more competitive decision-making.<\/p>\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\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-da9d5b2 elementor-section-height-min-height elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"da9d5b2\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-410c14a\" data-id=\"410c14a\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-247e037 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"247e037\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-54c34e6\" data-id=\"54c34e6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cd01237 no-table-of-content elementor-widget elementor-widget-heading\" data-id=\"cd01237\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Book your personal meeting<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-9183ca1 elementor-section-height-min-height elementor-section-boxed elementor-section-height-default\" data-id=\"9183ca1\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-5eb4800\" data-id=\"5eb4800\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-71a3f77 elementor-widget__width-initial elementor-widget elementor-widget-pikon-author-box-widget\" data-id=\"71a3f77\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"pikon-author-box-widget.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-widget-image-box elementor-position-left elementor-vertical-align-top\"><div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" src=\"https:\/\/www.pikon.com\/wp-content\/uploads\/2023\/03\/Martina_klein-1-150x150.jpg\" alt=\"Martina Ksinsik\" title=\"Martina Ksinsik\" loading=\"lazy\"\/><\/a><\/figure><div class=\"elementor-image-box-content\"><div class=\"elementor-image-box-title\">Martina Ksinsik<\/div><div class=\"elementor-image-box-position\">Customer Success Manager<\/div><div class=\"elementor-image-box-phone\"><a href=\"tel:+4968137962113\"><i class=\"fas fa-phone\"><\/i> +49 (0) 681 379 62 - 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