{"id":17881,"date":"2024-09-16T13:47:19","date_gmt":"2024-09-16T13:47:19","guid":{"rendered":"https:\/\/blog.milestone.ac.in\/blog-mit\/?p=17881"},"modified":"2025-07-01T15:23:45","modified_gmt":"2025-07-01T09:53:45","slug":"what-is-data-architecture","status":"publish","type":"post","link":"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/","title":{"rendered":"What is Data Architecture? Key Types, Principles, Examples"},"content":{"rendered":"In the world of data science and analytics, data (the raw form) architecture plays a crucial role by designing the ways and strategies about how the data should be collected, stored, managed and used within an organization. It includes the frameworks and practices that guarantee data assets structured appropriately. In this blog, we will provide an insight of exactly <strong>what is data architecture<\/strong>, its core concepts, components, types and basic principles along with examples for better clarity.\r\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_84 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#What_is_Data_Architecture\" >What is Data Architecture?<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Key_Components_of_Data_Architecture\" >Key Components of Data Architecture<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Types_of_Data_Architecture\" >Types of Data Architecture<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Data_Warehousing_Architecture\" >Data Warehousing Architecture<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Components\" >Components<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Example\" >Example<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Data_Lake_Architecture\" >Data Lake Architecture<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Components-2\" >Components<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Example-2\" >Example<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Data_Mesh_Architecture\" >Data Mesh Architecture<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Components-3\" >Components<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Example-3\" >Example<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Enterprise_Data_Architecture\" >Enterprise Data Architecture<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Components-4\" >Components<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Example-4\" >Example<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Key_Principles_of_Data_Architecture\" >Key Principles of Data Architecture<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Data_Integrity\" >Data Integrity<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Scalability\" >Scalability<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Data_Security\" >Data Security<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Data_Governance\" >Data Governance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Data_Integration\" >Data Integration<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Data_Accessibility\" >Data Accessibility<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Examples_of_Data_Architecture_in_Practice\" >Examples of Data Architecture in Practice<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Healthcare_Sector\" >Healthcare Sector<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Financial_Services\" >Financial Services<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#E-Commerce\" >E-Commerce<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Manufacturing\" >Manufacturing<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-28\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Where_to_Learn_Data_Architecture\" >Where to Learn Data Architecture?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-29\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#Frequently_Asked_Questions\" >Frequently Asked Questions<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-30\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#What_skills_are_required_for_a_career_in_data_architecture\" >What skills are required for a career in data architecture?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-31\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#How_does_data_architecture_differ_from_data_engineering\" >How does data architecture differ from data engineering?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-32\" href=\"https:\/\/milestone.ac.in\/blog-mit\/what-is-data-architecture\/#What_are_the_emerging_trends_in_data_architecture\" >What are the emerging trends in data architecture?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"What_is_Data_Architecture\"><\/span>What is Data Architecture?<span class=\"ez-toc-section-end\"><\/span><\/h2>\r\nData architecture refers to the organized framework used to manage and oversee the storage, access, and utilization of data within an organization. It refers to how data is collected, stored, accessed and used ensuring that it flows correctly through systems in accordance with business goals. Effective data architecture is essential for optimizing data management processes, enhancing data quality, and supporting informed decision-making.\r\n<h3><span class=\"ez-toc-section\" id=\"Key_Components_of_Data_Architecture\"><\/span>Key Components of Data Architecture<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\n<ul>\r\n \t<li><strong>Data Models:<\/strong> It is nothing but the representations of data structures and the relationships. Data models define how the data elements should be organized and how the data elements should interact within the databases.<\/li>\r\n \t<li><strong>Data Sources:<\/strong> It is a place or an origin from which the data is collected. Applications, databases, external data streams, and more are all included.<\/li>\r\n \t<li><strong>Data Storage:<\/strong> The different types of tools and technologies are used to store the data such as data lakes, databases, and data warehouses.<\/li>\r\n \t<li><strong>Data Integration:<\/strong> Methods and tools for combining data from several sources together into a unified view.<\/li>\r\n \t<li><strong>Data Management:<\/strong> Practices and tools for ensuring data quality, consistency, and security throughout its lifecycle.<\/li>\r\n \t<li><strong>Data Governance:<\/strong> Rules and guidelines for controlling compliance, quality, and access to data.<\/li>\r\n<\/ul>\r\n<h2><span class=\"ez-toc-section\" id=\"Types_of_Data_Architecture\"><\/span>Types of Data Architecture<span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<h3><span class=\"ez-toc-section\" id=\"Data_Warehousing_Architecture\"><\/span>Data Warehousing Architecture<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nA centralized repository is created as part of a data warehousing architecture to store structured data from several sources. This design facilitates corporate intelligence by supporting reporting and querying, providing insights.\r\n<h4><span class=\"ez-toc-section\" id=\"Components\"><\/span>Components<span class=\"ez-toc-section-end\"><\/span><\/h4>\r\n<ul>\r\n \t<li><strong>Data Sources:<\/strong> Systems like operational databases, CRM programs, and external data feeds are examples of systems from which data is extracted.<\/li>\r\n \t<li><strong>ETL Processes:<\/strong> Sources load the data into the data warehouse through extraction and transformation, formatting it for analysis.<\/li>\r\n \t<li><strong>Data Warehouse:<\/strong> The system stores data in a more structured format and optimizes it for reporting and querying in the central repository.<\/li>\r\n \t<li><strong>Data Marts:<\/strong> Data Warehouse subsets customized for particular business domains or tasks.<\/li>\r\n<\/ul>\r\n<h4><span class=\"ez-toc-section\" id=\"Example\"><\/span>Example<span class=\"ez-toc-section-end\"><\/span><\/h4>\r\nA retail business may utilize a data warehouse to combine inventory data from supply chain systems, customer data from online transactions, and sales data from several locations. In order to make wise decisions, the business may examine sales patterns, client behavior, and inventory levels according to this unified repository.\r\n<h3><span class=\"ez-toc-section\" id=\"Data_Lake_Architecture\"><\/span>Data Lake Architecture<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nLarge amounts of semi-structured or unstructured data can be handled using <a href=\"https:\/\/en.wikipedia.org\/wiki\/Data_lake\" rel=\"noopener\"><u>data lake<\/u><\/a> architecture. In contrast to data warehouses, data lakes allow users to analyze data more flexibly by storing raw data in its original format until they need it.\r\n<h4><span class=\"ez-toc-section\" id=\"Components-2\"><\/span>Components<span class=\"ez-toc-section-end\"><\/span><\/h4>\r\n<ul>\r\n \t<li><strong>Data Sources:<\/strong> Diverse sources including social media, IoT devices, log files, and more.<\/li>\r\n \t<li><strong>Data Ingestion:<\/strong> Processes for collecting and storing raw data in the data lake.<\/li>\r\n \t<li><strong>Storage:<\/strong> A scalable storage system that can handle vast amounts of diverse data.<\/li>\r\n \t<li><strong>Data Processing:<\/strong> Tools and frameworks for processing and analyzing data, often using big data technologies like Hadoop or Spark.<\/li>\r\n<\/ul>\r\n<h4><span class=\"ez-toc-section\" id=\"Example-2\"><\/span>Example<span class=\"ez-toc-section-end\"><\/span><\/h4>\r\nA social media platform may use a data lake to store user interactions, posts, images, and other data types. By analyzing this data, the platform can gain insights into user behavior, preferences, and trends, enabling personalized content recommendations and targeted advertising.\r\n<h3><span class=\"ez-toc-section\" id=\"Data_Mesh_Architecture\"><\/span>Data Mesh Architecture<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nData mesh architecture emphasizes decentralized data management, where domain-oriented teams are responsible for their own data products. It provides a more adaptable and scalable method of data management.\r\n<h4><span class=\"ez-toc-section\" id=\"Components-3\"><\/span>Components<span class=\"ez-toc-section-end\"><\/span><\/h4>\r\n<ul>\r\n \t<li><strong>Data Domains:<\/strong> Organizational units responsible for specific data sets or products.<\/li>\r\n \t<li><strong>Data Products:<\/strong> Organizations treat data sets as products, establishing clear ownership and quality standards.<\/li>\r\n \t<li><strong>Data Platform:<\/strong> A decentralized infrastructure that supports data access and sharing across domains.<\/li>\r\n \t<li><strong>Data Governance:<\/strong> Ensuring data quality and compliance throughout the mesh through policies and procedures.<\/li>\r\n<\/ul>\r\n<h4><span class=\"ez-toc-section\" id=\"Example-3\"><\/span>Example<span class=\"ez-toc-section-end\"><\/span><\/h4>\r\nIn a large multinational corporation, different business units (e.g., finance, marketing, HR) manage their own data products within a data mesh framework. While the platform as a whole assures integration and governance, each unit is in charge of the accuracy and usability of its data.\r\n<h3><span class=\"ez-toc-section\" id=\"Enterprise_Data_Architecture\"><\/span>Enterprise Data Architecture<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nEnterprise data architecture provides a comprehensive view of an organization&#8217;s data management strategy, encompassing data warehousing, data lakes, and other data storage and processing systems. It aligns data management practices with business goals and IT infrastructure.\r\n<h4><span class=\"ez-toc-section\" id=\"Components-4\"><\/span>Components<span class=\"ez-toc-section-end\"><\/span><\/h4>\r\n<ul>\r\n \t<li><strong>Enterprise Data Models:<\/strong> High-level representations of data structures across the organization.<\/li>\r\n \t<li><strong>Data Integration Frameworks:<\/strong> Tools and processes for integrating data across different systems.<\/li>\r\n \t<li><strong>Data Management Policies:<\/strong> Guidelines for data quality, security, and governance.<\/li>\r\n \t<li><strong>Business Intelligence Tools:<\/strong> Applications for analyzing and visualizing data to support decision-making.<\/li>\r\n<\/ul>\r\n<h4><span class=\"ez-toc-section\" id=\"Example-4\"><\/span>Example<span class=\"ez-toc-section-end\"><\/span><\/h4>\r\nA global enterprise might implement an enterprise data architecture that integrates data from its regional offices, various business units, and external partners. This integrated approach supports unified reporting, strategic planning, and operational efficiency.\r\n<h2><span class=\"ez-toc-section\" id=\"Key_Principles_of_Data_Architecture\"><\/span>Key Principles of Data Architecture<span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<h3><span class=\"ez-toc-section\" id=\"Data_Integrity\"><\/span>Data Integrity<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nEnsuring the data&#8217;s lifetime reliability, consistency, and correctness. Data integrity practices prevent errors and inconsistencies that could impact business decisions.\r\n<h3><span class=\"ez-toc-section\" id=\"Scalability\"><\/span>Scalability<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nThe ability of the data architecture to handle increasing volumes of data and growing numbers of users without compromising performance. Scalable architectures can expand resources as needed.\r\n<h3><span class=\"ez-toc-section\" id=\"Data_Security\"><\/span>Data Security<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nProtecting information against breaches, unauthorized access, and security threats. Access restrictions, encryption, and frequent security audits are examples of data security procedures.\r\n<h3><span class=\"ez-toc-section\" id=\"Data_Governance\"><\/span>Data Governance<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nEstablishing policies and procedures for managing data quality, access, and compliance. Effective data governance ensures that organizations use data responsibly and in accordance with regulations.\r\n<h3><span class=\"ez-toc-section\" id=\"Data_Integration\"><\/span>Data Integration<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nCombining together data from several sources to present an unified view. <a href=\"https:\/\/www.qlik.com\/us\/data-integration\" rel=\"noopener\">Data integration<\/a> includes procedures and tools that facilitate smooth data transfer and system consistency.\r\n<h3><span class=\"ez-toc-section\" id=\"Data_Accessibility\"><\/span>Data Accessibility<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nMaking sure information is readily available to authorized individuals when needed. Data accessibility involves creating efficient data retrieval processes and user-friendly interfaces.\r\n<h2><span class=\"ez-toc-section\" id=\"Examples_of_Data_Architecture_in_Practice\"><\/span>Examples of Data Architecture in Practice<span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<h3><span class=\"ez-toc-section\" id=\"Healthcare_Sector\"><\/span>Healthcare Sector<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nIn healthcare, it enables the integration of electronic health records (EHR), patient data, and clinical research. This integration supports improved patient care, personalized medicine, and research advancements.\r\n<h3><span class=\"ez-toc-section\" id=\"Financial_Services\"><\/span>Financial Services<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nFinancial institutions use data architecture to manage customer data, transaction records, and regulatory compliance. This architecture supports fraud detection, risk management, and customer analytics.\r\n<h3><span class=\"ez-toc-section\" id=\"E-Commerce\"><\/span>E-Commerce<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nE-commerce platforms rely on data architecture to handle customer interactions, purchase history, and inventory management. This architecture facilitates personalized recommendations, targeted marketing, and efficient order fulfillment.\r\n<h3><span class=\"ez-toc-section\" id=\"Manufacturing\"><\/span>Manufacturing<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nManufacturers use data architecture to integrate data from production lines, supply chains, and maintenance systems. This integration supports predictive maintenance, quality assurance, and supply chain optimization.\r\n<h2><span class=\"ez-toc-section\" id=\"Where_to_Learn_Data_Architecture\"><\/span>Where to Learn Data Architecture?<span class=\"ez-toc-section-end\"><\/span><\/h2>\r\nTo gain expertise in <a href=\"https:\/\/milestone.ac.in\/data-science-courses\/\"><u>Data Science Course<\/u><\/a>, consider enrolling into the best training programs which contain proper career guidance from experienced faculties. At Milestone Institute of technology you can gain all the essential skills and knowledge which is required to become a professional data scientist or data analyst.\r\n<h2><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<h3><span class=\"ez-toc-section\" id=\"What_skills_are_required_for_a_career_in_data_architecture\"><\/span>What skills are required for a career in data architecture?<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nKey skills include knowledge of data modeling, database management, data integration techniques, and familiarity with data warehousing and big data technologies.\r\n<h3><span class=\"ez-toc-section\" id=\"How_does_data_architecture_differ_from_data_engineering\"><\/span>How does data architecture differ from data engineering?<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nData architecture focuses on designing data systems and frameworks, while data engineering involves building and maintaining the infrastructure needed to support these systems.\r\n<h3><span class=\"ez-toc-section\" id=\"What_are_the_emerging_trends_in_data_architecture\"><\/span>What are the emerging trends in data architecture?<span class=\"ez-toc-section-end\"><\/span><\/h3>\r\nEmerging trends include the adoption of data mesh principles, increased use of cloud-based data platforms, and advancements in real-time data processing technologies.","protected":false},"excerpt":{"rendered":"In the world of data science and analytics, data (the raw form) architecture plays a crucial role by designing the ways and strategies about how the data should be collected, stored, managed and used within an organization. It includes the frameworks and practices that guarantee data assets structured appropriately. In this blog, we will provide [&hellip;]","protected":false},"author":1,"featured_media":18306,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[11],"class_list":["post-17881","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science-and-analytics","tag-what-is-data-architecture"],"acf":[],"_links":{"self":[{"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/posts\/17881","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/comments?post=17881"}],"version-history":[{"count":8,"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/posts\/17881\/revisions"}],"predecessor-version":[{"id":18163,"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/posts\/17881\/revisions\/18163"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/media\/18306"}],"wp:attachment":[{"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/media?parent=17881"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/categories?post=17881"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/milestone.ac.in\/blog-mit\/wp-json\/wp\/v2\/tags?post=17881"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}