{"id":23569,"date":"2026-07-17T13:17:09","date_gmt":"2026-07-17T13:17:09","guid":{"rendered":"https:\/\/expertextend.de\/en\/?post_type=case-studies&#038;p=23569"},"modified":"2026-07-23T12:43:45","modified_gmt":"2026-07-23T12:43:45","slug":"microsoft-fabric-case-study-healthcare","status":"publish","type":"case-studies","link":"https:\/\/expertextend.de\/en\/case-studies\/microsoft-fabric-case-study-healthcare\/","title":{"rendered":"SYNLAB CASE STUDY \u2013 Implementing Medallion Architecture in Fabric for Healthcare client."},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"23569\" class=\"elementor elementor-23569\" data-elementor-post-type=\"case-studies\">\n\t\t\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-f574c8f e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"f574c8f\" data-element_type=\"container\" data-e-type=\"container\" 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\"><\/image><\/defs><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fa767a8 animated-slow elementor-widget__width-initial elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"fa767a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;slideInUp&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Microsoft Fabric Migration Case Study For A Healthcare Client<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-40f58f1 animated-slow elementor-widget__width-initial elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"40f58f1\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;slideInUp&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">SYNLAB group partnered with Expert Extend to migrate on-prem databases to Microsoft Fabric using medallion architecture, resulting into report refresh time reduced by 50% and giving data and governance teams a unified, self-service workspace.<\/p>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eec717a elementor-align-left elementor-mobile-align-center elementor-widget elementor-widget-button\" data-id=\"eec717a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#learn-more\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-long-arrow-alt-down\" viewBox=\"0 0 256 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M168 345.941V44c0-6.627-5.373-12-12-12h-56c-6.627 0-12 5.373-12 12v301.941H41.941c-21.382 0-32.09 25.851-16.971 40.971l86.059 86.059c9.373 9.373 24.569 9.373 33.941 0l86.059-86.059c15.119-15.119 4.411-40.971-16.971-40.971H168z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More About It<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-2a0b17a e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"2a0b17a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-a1c144e e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"a1c144e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-85fbf1e e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"85fbf1e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-fff271b e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"fff271b\" 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-866a61e elementor-widget elementor-widget-image\" data-id=\"866a61e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.synlab.com\/\">\n\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"469\" height=\"156\" src=\"https:\/\/expertextend.de\/wp-content\/uploads\/2025\/04\/Synlab-Client-Lab.png\" class=\"attachment-full size-full wp-image-14799\" alt=\"\" srcset=\"https:\/\/expertextend.de\/wp-content\/uploads\/2025\/04\/Synlab-Client-Lab.png 469w, https:\/\/expertextend.de\/wp-content\/uploads\/2025\/04\/Synlab-Client-Lab-300x100.png 300w\" sizes=\"(max-width: 469px) 100vw, 469px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\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<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-173c90a e-con-full elementor-hidden-mobile e-ecs-flex e-flex e-con e-child\" data-id=\"173c90a\" 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-c249937 elementor-widget elementor-widget-eael-divider\" data-id=\"c249937\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"eael-divider-wrap divider-direction-vertical\">\n\t\t\t\t\t\t\t<div class=\"eael-divider vertical solid\"><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5bd0395 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"5bd0395\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-748637b e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"748637b\" 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-ebf6dfa elementor-align-start elementor-widget-mobile__width-initial elementor-mobile-align-center elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"ebf6dfa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/expertextend.de\/en\/gesundheitsbranche-und-labordienstleister\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"><span style=\"color:#2097F6\">Industry<\/span> - <b><span style=\"color:#2B3186\">Healthcare &amp; Laboratory<\/span> <\/b><\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/expertextend.de\/en\/wind-farm-analytics-solutions\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"><span style=\"color:#2097F6\">Region<\/span> - <b><span style=\"color:#2B3186\">Munich, Germany<\/span>  <\/b><\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/expertextend.de\/en\/wind-farm-analytics-solutions\/\">\n\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"><span style=\"color:#2097F6\">Client Since<\/span> - <b><span style=\"color:#2B3186\">2018<\/span>  <\/b><\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-dfac138 e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"dfac138\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d5b2cb7 elementor-widget elementor-widget-heading\" data-id=\"d5b2cb7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Executive Summary: The Migration to Microsoft Fabric<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e61aa2a elementor-widget elementor-widget-text-editor\" data-id=\"e61aa2a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><a href=\"https:\/\/www.synlab.com\/\">SYNLAB Group<\/a>, a leader in medical diagnostic services and specialty testing in Europe operating in more than 20 countries across 4 continents, ran its reporting platform entirely on-premises, with Dataflow Gen1 handling transformations directly against on-prem database tables, a setup that was becoming a bottleneck as data volumes grew. SYNLAB Group partnered with Expert Extend to migrate this platform to Microsoft Fabric, rebuilding the pipeline on a Bronze\u2013Silver\u2013Gold medallion architecture; by consolidating storage, transformation, and analytics onto OneLake, the migration eliminated the legacy bottleneck and gave SYNLAB&#8217;s data and governance teams a single, unified workspace, with self-service access to Gold-layer datasets and country-level access controls to support compliance across markets. The result was a roughly 50% reduction in report refresh times, alongside a materially stronger governance and data-access posture.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-7f004a9 e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"7f004a9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a26ef98 elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"a26ef98\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why Expert Extend?<\/h2>\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-fe2224a e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"fe2224a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-731bd6b e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"731bd6b\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-263ede2 elementor-view-stacked elementor-shape-rounded elementor-position-inline-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"263ede2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-heartbeat\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M320.2 243.8l-49.7 99.4c-6 12.1-23.4 11.7-28.9-.6l-56.9-126.3-30 71.7H60.6l182.5 186.5c7.1 7.3 18.6 7.3 25.7 0L451.4 288H342.3l-22.1-44.2zM473.7 73.9l-2.4-2.5c-51.5-52.6-135.8-52.6-187.4 0L256 100l-27.9-28.5c-51.5-52.7-135.9-52.7-187.4 0l-2.4 2.4C-10.4 123.7-12.5 203 31 256h102.4l35.9-86.2c5.4-12.9 23.6-13.2 29.4-.4l58.2 129.3 49-97.9c5.9-11.8 22.7-11.8 28.6 0l27.6 55.2H481c43.5-53 41.4-132.3-7.3-182.1z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tProven Track Record in Healthcare &amp; Diagnostics\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tRepeat data-platform engagements for healthcare and laboratory-diagnostics clients across Europe, delivered under strict data-protection requirements.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-dd4e7d2 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"dd4e7d2\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-33fafc9 elementor-view-stacked elementor-shape-rounded elementor-position-inline-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"33fafc9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-code-branch\" viewBox=\"0 0 384 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M384 144c0-44.2-35.8-80-80-80s-80 35.8-80 80c0 36.4 24.3 67.1 57.5 76.8-.6 16.1-4.2 28.5-11 36.9-15.4 19.2-49.3 22.4-85.2 25.7-28.2 2.6-57.4 5.4-81.3 16.9v-144c32.5-10.2 56-40.5 56-76.3 0-44.2-35.8-80-80-80S0 35.8 0 80c0 35.8 23.5 66.1 56 76.3v199.3C23.5 365.9 0 396.2 0 432c0 44.2 35.8 80 80 80s80-35.8 80-80c0-34-21.2-63.1-51.2-74.6 3.1-5.2 7.8-9.8 14.9-13.4 16.2-8.2 40.4-10.4 66.1-12.8 42.2-3.9 90-8.4 118.2-43.4 14-17.4 21.1-39.8 21.6-67.9 31.6-10.8 54.4-40.7 54.4-75.9zM80 64c8.8 0 16 7.2 16 16s-7.2 16-16 16-16-7.2-16-16 7.2-16 16-16zm0 384c-8.8 0-16-7.2-16-16s7.2-16 16-16 16 7.2 16 16-7.2 16-16 16zm224-320c8.8 0 16 7.2 16 16s-7.2 16-16 16-16-7.2-16-16 7.2-16 16-16z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tComprehensive Functional Expertise\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tFunctional exposure to laboratory reporting, clinical operations KPIs, finance, country-level data governance and compliance-sensitive data handling.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-11605c1 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"11605c1\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-9d51e10 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"9d51e10\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9417ca3 elementor-view-stacked elementor-shape-rounded elementor-position-inline-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"9417ca3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fab-microsoft\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 32h214.6v214.6H0V32zm233.4 0H448v214.6H233.4V32zM0 265.4h214.6V480H0V265.4zm233.4 0H448V480H233.4V265.4z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tMicrosoft Fabric &amp; Azure Depth\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tCertified data professionals covering Microsoft Fabric, OneLake, Power BI, Azure data engineering and DevOps.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-774cc2a e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"774cc2a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dbe1ee6 elementor-view-stacked elementor-shape-rounded elementor-position-inline-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"dbe1ee6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-grin\" viewBox=\"0 0 496 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M248 8C111 8 0 119 0 256s111 248 248 248 248-111 248-248S385 8 248 8zm80 168c17.7 0 32 14.3 32 32s-14.3 32-32 32-32-14.3-32-32 14.3-32 32-32zm-160 0c17.7 0 32 14.3 32 32s-14.3 32-32 32-32-14.3-32-32 14.3-32 32-32zm80 256c-60.6 0-134.5-38.3-143.8-93.3-2-11.8 9.3-21.6 20.7-17.9C155.1 330.5 200 336 248 336s92.9-5.5 123.1-15.2c11.3-3.7 22.6 6.1 20.7 17.9-9.3 55-83.2 93.3-143.8 93.3z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tExceptional Customer Satisfaction\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tHigh customer satisfaction, follow-up engagements and recommendations constitute more than 90% of our projects.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-776c5cd e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"776c5cd\" data-element_type=\"container\" data-e-type=\"container\" id=\"learn-more\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5af7b0c elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"5af7b0c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Background &amp; Context: An On-Prem Reporting Platform<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-73f214b elementor-widget elementor-widget-text-editor\" data-id=\"73f214b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>SYNLAB is a clinical diagnostics provider whose reporting depended on data drawn directly from its on-prem source systems. Before the migration, transformation was handled in Dataflow Gen1, connected straight to the source tables, with no dedicated storage layer for the transformed output. Below is how the previous architecture compares with the current Microsoft Fabric medallion approach.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-af53e17 elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"af53e17\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">As-is Process (Previous Architecture) vs. To-be Process (Current Architecture)<\/h3>\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-1406020 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"1406020\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-53d3032 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"53d3032\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8c94768 elementor-widget elementor-widget-heading\" data-id=\"8c94768\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Previous Architecture<\/p>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3a642a2 elementor-widget elementor-widget-text-editor\" data-id=\"3a642a2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>&#8211; Directly connected to the source data, putting a load on the transactional systems.<\/p><p>&#8211; Uses Dataflow Gen1 for all transformations.<\/p><p>&#8211; All transformations happen in one place.<\/p><p>&#8211; Repeated source-system load, as multiple dataflows use the same data source for different use cases.<\/p><p>&#8211; No destination storage system for the transformed dataset.<\/p><p>&#8211; No row-level security (RLS) or data masking on the reporting data.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-faf71f6 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"faf71f6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9f39d26 elementor-widget elementor-widget-heading\" data-id=\"9f39d26\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Current Architecture<\/p>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f5b4564 elementor-widget elementor-widget-text-editor\" data-id=\"f5b4564\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>&#8211; Holds a copy of the source data, eliminating repeated source-system load.<\/p><p>&#8211; Uses a Warehouse as the Gold layer.<\/p><p>&#8211; Transformation can be done as and when required, in between the layers.<\/p><p>&#8211; Raw data is reusable, so other teams can transform it for their own use cases.<\/p><p>&#8211; Transformed datasets can be stored at any desired storage layer.<\/p><p>&#8211; Row-level security (RLS) and data masking control data access by users.<\/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<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-ee9d4b9 e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"ee9d4b9\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c24a1c9 elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"c24a1c9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Challenge: A Fragmented Architecture Without Data-Access Controls<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0e3e2f6 elementor-widget elementor-widget-text-editor\" data-id=\"0e3e2f6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The core bottleneck was the Dataflow Gen1 refresh chain. Dataflow Gen1 pulled data from the on-prem database and applied transformations, and the semantic model then layered further transformations on top before refreshing the reports. This long, sequential chain made report refreshes slow, and the platform offered no way to control who saw what.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42f573e elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"42f573e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Where the Bottlenecks Were<\/h3>\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5efc1a6 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"5efc1a6\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-8b098a2 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"8b098a2\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0176f16 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"0176f16\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-server\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M480 160H32c-17.673 0-32-14.327-32-32V64c0-17.673 14.327-32 32-32h448c17.673 0 32 14.327 32 32v64c0 17.673-14.327 32-32 32zm-48-88c-13.255 0-24 10.745-24 24s10.745 24 24 24 24-10.745 24-24-10.745-24-24-24zm-64 0c-13.255 0-24 10.745-24 24s10.745 24 24 24 24-10.745 24-24-10.745-24-24-24zm112 248H32c-17.673 0-32-14.327-32-32v-64c0-17.673 14.327-32 32-32h448c17.673 0 32 14.327 32 32v64c0 17.673-14.327 32-32 32zm-48-88c-13.255 0-24 10.745-24 24s10.745 24 24 24 24-10.745 24-24-10.745-24-24-24zm-64 0c-13.255 0-24 10.745-24 24s10.745 24 24 24 24-10.745 24-24-10.745-24-24-24zm112 248H32c-17.673 0-32-14.327-32-32v-64c0-17.673 14.327-32 32-32h448c17.673 0 32 14.327 32 32v64c0 17.673-14.327 32-32 32zm-48-88c-13.255 0-24 10.745-24 24s10.745 24 24 24 24-10.745 24-24-10.745-24-24-24zm-64 0c-13.255 0-24 10.745-24 24s10.745 24 24 24 24-10.745 24-24-10.745-24-24-24z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d45dc3e elementor-widget elementor-widget-heading\" data-id=\"d45dc3e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Heavy Load on On-Prem Systems<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-34f0b03 elementor-widget elementor-widget-text-editor\" data-id=\"34f0b03\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Dataflow Gen1 connected straight to the on-prem database, placing a heavy load on the transactional systems and slowing the movement of data from the on-prem database to the semantic model. With multiple dataflows hitting the same source for different use cases, that load was repeated again and again.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-08cf4fa e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"08cf4fa\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fa8e0bb elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"fa8e0bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-layer-group\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M12.41 148.02l232.94 105.67c6.8 3.09 14.49 3.09 21.29 0l232.94-105.67c16.55-7.51 16.55-32.52 0-40.03L266.65 2.31a25.607 25.607 0 0 0-21.29 0L12.41 107.98c-16.55 7.51-16.55 32.53 0 40.04zm487.18 88.28l-58.09-26.33-161.64 73.27c-7.56 3.43-15.59 5.17-23.86 5.17s-16.29-1.74-23.86-5.17L70.51 209.97l-58.1 26.33c-16.55 7.5-16.55 32.5 0 40l232.94 105.59c6.8 3.08 14.49 3.08 21.29 0L499.59 276.3c16.55-7.5 16.55-32.5 0-40zm0 127.8l-57.87-26.23-161.86 73.37c-7.56 3.43-15.59 5.17-23.86 5.17s-16.29-1.74-23.86-5.17L70.29 337.87 12.41 364.1c-16.55 7.5-16.55 32.5 0 40l232.94 105.59c6.8 3.08 14.49 3.08 21.29 0L499.59 404.1c16.55-7.5 16.55-32.5 0-40z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42d8b55 elementor-widget elementor-widget-heading\" data-id=\"42d8b55\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Transformations Stacked on Transformations<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-688c9a1 elementor-widget elementor-widget-text-editor\" data-id=\"688c9a1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The semantic model applied further transformations on top of the data already transformed by the dataflows before refreshing the reports, adding still more time to each refresh. Every report refresh had to wait for this entire sequential chain to complete.<\/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<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-0e6ec12 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"0e6ec12\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-639cbae e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"639cbae\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ee3744c elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"ee3744c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-lock\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M400 224h-24v-72C376 68.2 307.8 0 224 0S72 68.2 72 152v72H48c-26.5 0-48 21.5-48 48v192c0 26.5 21.5 48 48 48h352c26.5 0 48-21.5 48-48V272c0-26.5-21.5-48-48-48zm-104 0H152v-72c0-39.7 32.3-72 72-72s72 32.3 72 72v72z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0f524aa elementor-widget elementor-widget-heading\" data-id=\"0f524aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">No Row-Level Security or Data Masking<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b4695e elementor-widget elementor-widget-text-editor\" data-id=\"9b4695e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The reporting data carried no row-level security (RLS) and no data masking, so access could not be controlled at the user level, a significant gap for a diagnostics provider operating across many countries.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e009558 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"e009558\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4f26026 elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"4f26026\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-shield-alt\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M466.5 83.7l-192-80a48.15 48.15 0 0 0-36.9 0l-192 80C27.7 91.1 16 108.6 16 128c0 198.5 114.5 335.7 221.5 380.3 11.8 4.9 25.1 4.9 36.9 0C360.1 472.6 496 349.3 496 128c0-19.4-11.7-36.9-29.5-44.3zM256.1 446.3l-.1-381 175.9 73.3c-3.3 151.4-82.1 261.1-175.8 307.7z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2fcc24e elementor-widget elementor-widget-heading\" data-id=\"2fcc24e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Governance Gaps Across the Platform<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8eb4a44 elementor-widget elementor-widget-text-editor\" data-id=\"8eb4a44\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>With transformation logic, source connections, and reporting data spread across the legacy chain, there was no single place to govern the platform, gaps that could only be addressed by consolidating all data in one environment.<\/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<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-24e115a e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"24e115a\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7c0a9ab elementor-widget-mobile__width-initial elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"7c0a9ab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Solution: A Bronze-Silver-Gold Medallion Architecture in Microsoft Fabric<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8dcdd01 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"8dcdd01\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Expert Extend adopted a medallion architecture (Bronze\u2013Silver\u2013Gold) approach for data orchestration into Microsoft Fabric: Bronze and Silver layers as lakehouses, and the Gold layer as a Warehouse. Each stage of the build removed a link of the legacy refresh chain while adding the governance SYNLAB needed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-deaa940 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"deaa940\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-6ede817 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"6ede817\" 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-1c27753 elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"1c27753\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-database\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M448 73.143v45.714C448 159.143 347.667 192 224 192S0 159.143 0 118.857V73.143C0 32.857 100.333 0 224 0s224 32.857 224 73.143zM448 176v102.857C448 319.143 347.667 352 224 352S0 319.143 0 278.857V176c48.125 33.143 136.208 48.572 224 48.572S399.874 209.143 448 176zm0 160v102.857C448 479.143 347.667 512 224 512S0 479.143 0 438.857V336c48.125 33.143 136.208 48.572 224 48.572S399.874 369.143 448 336z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-4032693 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"4032693\" 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-3824b3e elementor-widget elementor-widget-heading\" data-id=\"3824b3e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Stage 1: Landing the Data - Pipelines Replace Dataflow Gen1<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2ecf8bb elementor-widget elementor-widget-text-editor\" data-id=\"2ecf8bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Dataflow Gen1 was replaced with data pipelines that migrate data from the on-prem database into the Bronze layer. Shortcuts hold a copy of the source data directly in Bronze, which eliminates repeated source-system load; the raw data lands once and becomes reusable for every downstream team.<\/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<div class=\"elementor-element elementor-element-1f76cfc elementor-widget elementor-widget-eael-divider\" data-id=\"1f76cfc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"eael-divider-wrap divider-direction-horizontal\">\n\t\t\t\t\t\t\t<div class=\"eael-divider horizontal solid\"><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-0a107cc e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"0a107cc\" 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-0df27a4 elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"0df27a4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-atom\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M223.99908,224a32,32,0,1,0,32.00782,32A32.06431,32.06431,0,0,0,223.99908,224Zm214.172-96c-10.877-19.5-40.50979-50.75-116.27544-41.875C300.39168,34.875,267.63386,0,223.99908,0s-76.39066,34.875-97.89653,86.125C50.3369,77.375,20.706,108.5,9.82907,128-6.54984,157.375-5.17484,201.125,34.958,256-5.17484,310.875-6.54984,354.625,9.82907,384c29.13087,52.375,101.64652,43.625,116.27348,41.875C147.60842,477.125,180.36429,512,223.99908,512s76.3926-34.875,97.89652-86.125c14.62891,1.75,87.14456,10.5,116.27544-41.875C454.55,354.625,453.175,310.875,413.04017,256,453.175,201.125,454.55,157.375,438.171,128ZM63.33886,352c-4-7.25-.125-24.75,15.00391-48.25,6.87695,6.5,14.12891,12.875,21.88087,19.125,1.625,13.75,4,27.125,6.75,40.125C82.34472,363.875,67.09081,358.625,63.33886,352Zm36.88478-162.875c-7.752,6.25-15.00392,12.625-21.88087,19.125-15.12891-23.5-19.00392-41-15.00391-48.25,3.377-6.125,16.37891-11.5,37.88478-11.5,1.75,0,3.875.375,5.75.375C104.09864,162.25,101.84864,175.625,100.22364,189.125ZM223.99908,64c9.50195,0,22.25586,13.5,33.88282,37.25-11.252,3.75-22.50391,8-33.88282,12.875-11.377-4.875-22.62892-9.125-33.88283-12.875C201.74516,77.5,214.49712,64,223.99908,64Zm0,384c-9.502,0-22.25392-13.5-33.88283-37.25,11.25391-3.75,22.50587-8,33.88283-12.875C235.378,402.75,246.62994,407,257.8819,410.75,246.25494,434.5,233.501,448,223.99908,448Zm0-112a80,80,0,1,1,80-80A80.00023,80.00023,0,0,1,223.99908,336ZM384.6593,352c-3.625,6.625-19.00392,11.875-43.63479,11,2.752-13,5.127-26.375,6.752-40.125,7.75195-6.25,15.00391-12.625,21.87891-19.125C384.7843,327.25,388.6593,344.75,384.6593,352ZM369.65538,208.25c-6.875-6.5-14.127-12.875-21.87891-19.125-1.625-13.5-3.875-26.875-6.752-40.25,1.875,0,4.002-.375,5.752-.375,21.50391,0,34.50782,5.375,37.88283,11.5C388.6593,167.25,384.7843,184.75,369.65538,208.25Z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-6b4edb2 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"6b4edb2\" 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-0435ae2 elementor-widget elementor-widget-heading\" data-id=\"0435ae2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Stage 2: Refining Bronze to Silver to Gold<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-acd1860 elementor-widget elementor-widget-text-editor\" data-id=\"acd1860\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Transformations were distributed across the medallion layers rather than a single monolithic dataflow. Raw data lands from the on-prem database into Bronze; Spark notebooks apply aggregations, filters, and other required transformations as data moves from Bronze to Silver; and the selected, refined data is then promoted from Silver to the Gold layer.<\/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<div class=\"elementor-element elementor-element-4e34c76 elementor-widget elementor-widget-eael-divider\" data-id=\"4e34c76\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"eael-divider-wrap divider-direction-horizontal\">\n\t\t\t\t\t\t\t<div class=\"eael-divider horizontal solid\"><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-e0f4576 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"e0f4576\" 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-13ad5fe elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"13ad5fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-user-secret\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M383.9 308.3l23.9-62.6c4-10.5-3.7-21.7-15-21.7h-58.5c11-18.9 17.8-40.6 17.8-64v-.3c39.2-7.8 64-19.1 64-31.7 0-13.3-27.3-25.1-70.1-33-9.2-32.8-27-65.8-40.6-82.8-9.5-11.9-25.9-15.6-39.5-8.8l-27.6 13.8c-9 4.5-19.6 4.5-28.6 0L182.1 3.4c-13.6-6.8-30-3.1-39.5 8.8-13.5 17-31.4 50-40.6 82.8-42.7 7.9-70 19.7-70 33 0 12.6 24.8 23.9 64 31.7v.3c0 23.4 6.8 45.1 17.8 64H56.3c-11.5 0-19.2 11.7-14.7 22.3l25.8 60.2C27.3 329.8 0 372.7 0 422.4v44.8C0 491.9 20.1 512 44.8 512h358.4c24.7 0 44.8-20.1 44.8-44.8v-44.8c0-48.4-25.8-90.4-64.1-114.1zM176 480l-41.6-192 49.6 32 24 40-32 120zm96 0l-32-120 24-40 49.6-32L272 480zm41.7-298.5c-3.9 11.9-7 24.6-16.5 33.4-10.1 9.3-48 22.4-64-25-2.8-8.4-15.4-8.4-18.3 0-17 50.2-56 32.4-64 25-9.5-8.8-12.7-21.5-16.5-33.4-.8-2.5-6.3-5.7-6.3-5.8v-10.8c28.3 3.6 61 5.8 96 5.8s67.7-2.1 96-5.8v10.8c-.1.1-5.6 3.2-6.4 5.8z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-f56f00d e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"f56f00d\" 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-d21c4ca elementor-widget elementor-widget-heading\" data-id=\"d21c4ca\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Stage 3: Governing the Gold Layer<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a4f644 elementor-widget elementor-widget-text-editor\" data-id=\"4a4f644\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Row-level security (RLS) and data masking were applied in the Gold-layer Warehouse, scoped by country: each country&#8217;s users see only the data for their own country. Governance is now centralised in one place, with self-service access to Gold-layer datasets for the teams that need them.<\/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<div class=\"elementor-element elementor-element-a25e8d8 elementor-widget elementor-widget-eael-divider\" data-id=\"a25e8d8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"eael-divider-wrap divider-direction-horizontal\">\n\t\t\t\t\t\t\t<div class=\"eael-divider horizontal solid\"><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-b8bf699 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"b8bf699\" 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-7b8435b elementor-view-stacked elementor-shape-circle elementor-widget elementor-widget-icon\" data-id=\"7b8435b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-chart-area\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M500 384c6.6 0 12 5.4 12 12v40c0 6.6-5.4 12-12 12H12c-6.6 0-12-5.4-12-12V76c0-6.6 5.4-12 12-12h40c6.6 0 12 5.4 12 12v308h436zM372.7 159.5L288 216l-85.3-113.7c-5.1-6.8-15.5-6.3-19.9 1L96 248v104h384l-89.9-187.8c-3.2-6.5-11.4-8.7-17.4-4.7z\"><\/path><\/svg>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-f87fc8f e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"f87fc8f\" 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-ae381a3 elementor-widget elementor-widget-heading\" data-id=\"ae381a3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Stage 4: Connecting Reports Directly to Gold<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1b3e701 elementor-widget elementor-widget-text-editor\" data-id=\"1b3e701\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Semantic models now connect directly to the Warehouse tables and views, so reports always take the latest data from the Gold layer. The dataflow has been eliminated, refresh time is driven by data pipelines instead, which can be optimised to land the latest data in the Warehouse in minimal time.<\/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<div class=\"elementor-element elementor-element-6a319aa elementor-widget elementor-widget-eael-divider\" data-id=\"6a319aa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"eael-divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"eael-divider-wrap divider-direction-horizontal\">\n\t\t\t\t\t\t\t<div class=\"eael-divider horizontal solid\"><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-c16b131 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"c16b131\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-b410a99 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"b410a99\" 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-ab83798 elementor-widget elementor-widget-heading\" data-id=\"ab83798\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<p class=\"elementor-heading-title elementor-size-default\">Resource<\/p>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-138e5be elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"138e5be\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Step-by-Step Guide on Implementing Medallion Architecture in Microsoft Fabric<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e127b22 elementor-widget elementor-widget-button\" data-id=\"e127b22\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/expertextend.de\/en\/medallion-architecture-microsoft-fabric\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-long-arrow-alt-right\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M313.941 216H12c-6.627 0-12 5.373-12 12v56c0 6.627 5.373 12 12 12h301.941v46.059c0 21.382 25.851 32.09 40.971 16.971l86.059-86.059c9.373-9.373 9.373-24.569 0-33.941l-86.059-86.059c-15.119-15.119-40.971-4.411-40.971 16.971V216z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Read More <\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\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<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-5e8ba9d e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"5e8ba9d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0e9b1f2 elementor-widget-mobile__width-initial elementor-widget elementor-widget-heading\" data-id=\"0e9b1f2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Results of the Migration to Microsoft Fabric<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-157f765 elementor-hidden-mobile elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"157f765\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<div class=\"elementor-icon\">\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"102\" height=\"104\" viewBox=\"0 0 102 104\" fill=\"none\"><path d=\"M1.71377 79.813C1.4258 79.3141 1.14536 78.8104 0.872574 78.3019C1.36794 78.626 1.69901 79.1804 1.71377 79.813Z\" fill=\"url(#paint0_linear_739_128903)\"><\/path><path d=\"M23.6981 101.127C23.1896 100.855 22.6859 100.574 22.187 100.286C22.8196 100.301 23.374 100.632 23.6981 101.127Z\" fill=\"url(#paint1_linear_739_128903)\"><\/path><path d=\"M77.813 100.286C77.3141 100.574 76.8104 100.855 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data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-7987b30 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"7987b30\" 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-541801b elementor-widget elementor-widget-heading\" data-id=\"541801b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Business Impact Metrics<\/h2>\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-4272fb2 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"4272fb2\" data-element_type=\"container\" data-e-type=\"container\" 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e-far-chart-bar\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M396.8 352h22.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-192 0h22.4c6.4 0 12.8-6.4 12.8-12.8V140.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h22.4c6.4 0 12.8-6.4 12.8-12.8V204.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zM496 400H48V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-16c0-8.84-7.16-16-16-16zm-387.2-48h22.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h2 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tFaster 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class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h2 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tReduced Compliance Risk\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tCountry-scoped access controls closed a real data-exposure gap across SYNLAB's 20+ country operations.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-0a51a2c e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"0a51a2c\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-9651814 e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"9651814\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-24c0ace elementor-view-stacked elementor-shape-rounded elementor-position-inline-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"24c0ace\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-folder-open\" viewBox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M572.694 292.093L500.27 416.248A63.997 63.997 0 0 1 444.989 448H45.025c-18.523 0-30.064-20.093-20.731-36.093l72.424-124.155A64 64 0 0 1 152 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class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-far-money-bill-alt\" viewBox=\"0 0 640 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M320 144c-53.02 0-96 50.14-96 112 0 61.85 42.98 112 96 112 53 0 96-50.13 96-112 0-61.86-42.98-112-96-112zm40 168c0 4.42-3.58 8-8 8h-64c-4.42 0-8-3.58-8-8v-16c0-4.42 3.58-8 8-8h16v-55.44l-.47.31a7.992 7.992 0 0 1-11.09-2.22l-8.88-13.31a7.992 7.992 0 0 1 2.22-11.09l15.33-10.22a23.99 23.99 0 0 1 13.31-4.03H328c4.42 0 8 3.58 8 8v88h16c4.42 0 8 3.58 8 8v16zM608 64H32C14.33 64 0 78.33 0 96v320c0 17.67 14.33 32 32 32h576c17.67 0 32-14.33 32-32V96c0-17.67-14.33-32-32-32zm-16 272c-35.35 0-64 28.65-64 64H112c0-35.35-28.65-64-64-64V176c35.35 0 64-28.65 64-64h416c0 35.35 28.65 64 64 64v160z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h2 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tLower Cost of Change\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tCI\/CD integration replaced manual, high-risk pipeline updates with faster, safer deployments.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-aca2914 e-con-full e-ecs-flex e-flex e-con e-parent\" data-id=\"aca2914\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t<div data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-element elementor-element-a73b4ac e-con-full e-ecs-flex e-flex e-con e-child\" data-id=\"a73b4ac\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;ecs_container_type&quot;:&quot;flex&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3e9d599 elementor-widget elementor-widget-heading\" data-id=\"3e9d599\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Considering a Migration to Microsoft Fabric?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62c2f14 elementor-widget elementor-widget-text-editor\" data-id=\"62c2f14\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Before undertaking a migration like this, it helps to know exactly where your current environment stands. Our Microsoft Fabric Transition Sprint assesses your data platform and gives you a clear, low-risk path to migrate with confidence, the same kind of foundation that shaped SYNLAB&#8217;s results.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03173ea elementor-widget elementor-widget-button\" data-id=\"03173ea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/expertextend.de\/en\/digitalization-solutions\/microsoft-fabric-transition-assessment\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-long-arrow-alt-right\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M313.941 216H12c-6.627 0-12 5.373-12 12v56c0 6.627 5.373 12 12 12h301.941v46.059c0 21.382 25.851 32.09 40.971 16.971l86.059-86.059c9.373-9.373 9.373-24.569 0-33.941l-86.059-86.059c-15.119-15.119-40.971-4.411-40.971 16.971V216z\"><\/path><\/svg>\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn More <\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\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<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Home \/ Case Study Microsoft Fabric Migration Case Study For A Healthcare Client SYNLAB group partnered with Expert Extend to migrate on-prem databases to Microsoft Fabric using medallion architecture, resulting into report refresh time reduced by 50% and giving data and governance teams a unified, self-service workspace. Learn More About It Industry &#8211; Healthcare &amp; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":23736,"template":"elementor_header_footer","meta":[],"case-study-industry":[256,257],"case-study-service":[258,259],"case-study-results":[260,264,267,263,265,268,269,266,262,261],"class_list":["post-23569","case-studies","type-case-studies","status-publish","has-post-thumbnail","hentry","case-study-industry-healthcare-laboratory","case-study-industry-medical-and-diagnostic-laboratories","case-study-service-data-engineering-architecture","case-study-service-microsoft-fabric-migration","case-study-results-50-faster-report-refresh","case-study-results-centralized-governance","case-study-results-ci-cd-pipeline-integration","case-study-results-data-masking","case-study-results-improved-scalability","case-study-results-medallion-architecture","case-study-results-microsoft-fabric-migration","case-study-results-reduced-on-prem-load","case-study-results-row-level-security-implementation","case-study-results-unified-data-platform"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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