{"id":49608,"date":"2025-12-03T07:57:35","date_gmt":"2025-12-03T06:57:35","guid":{"rendered":"https:\/\/dimajix.de\/expertise\/data-mesh\/"},"modified":"2025-12-03T07:57:36","modified_gmt":"2025-12-03T06:57:36","slug":"data-mesh","status":"publish","type":"page","link":"https:\/\/dimajix.de\/en\/expertise\/data-mesh\/","title":{"rendered":"Data Mesh"},"content":{"rendered":"[vc_row type=”full_width_background” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” top_padding=”2%” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”2\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” content_layout=”default” gradient_type=”default”][vc_custom_heading text=”Data Mesh \u2013 Decentralized Data Architecture for Modern Data Operations” use_theme_fonts=”yes” css=””][vc_column_text css=”.vc_custom_1764704238155{margin-bottom: 40px !important;}” text_direction=”default”]Many companies see a major challenge in exploiting the full potential of their data. Traditional, centralized data architectures (such as data warehouses or data lakes) often come up against organizational limits when it comes to scalability and flexibility. This is where data mesh comes into play \u2013 a paradigm shift in data architecture.[\/vc_column_text][vc_custom_heading text=”What is Data Mesh?” font_container=”tag:h3|text_align:left” use_theme_fonts=”yes” css=””][vc_column_text css=”.vc_custom_1764744880365{margin-bottom: 40px !important;}” text_direction=”default”]Data mesh is a decentralized approach to data architecture that is guided by the principles of domain-oriented architecture. Instead of collecting and managing data centrally, the data is placed in the area of responsibility of the departments (domains) that produce and use it.[\/vc_column_text][vc_custom_heading text=”The Four Guiding Principles of Data Mesh” font_container=”tag:h3|text_align:left” use_theme_fonts=”yes” css=””][vc_column_text css=”.vc_custom_1764744887973{margin-bottom: 40px !important;}” text_direction=”default”]\n
    \n
  1. Domain-oriented data responsibility:<\/strong> Departments (e.g. marketing, sales, risk management) are responsible for their data \u2013 from generation to maintenance to provision.<\/li>\n
  2. Data as a product:<\/strong> Data is not seen as a by-product, but as a standalone product with clear interfaces, documentation, and quality standards.<\/li>\n
  3. Self-service data infrastructure:<\/strong> A central platform provides the necessary tools and infrastructure for business departments to manage and deliver their data independently.<\/li>\n
  4. Federated Computational Governance:<\/strong> A framework of guidelines and standards ensures interoperability, security and compliance without restricting the autonomy of the business departments.<\/li>\n<\/ol>\n

    With this approach, the data mesh concept addresses the often encountered unclear content and technical responsibility for the content of a data lake. Responsibility is clearly handed over to the data-producing systems (“shift left”).[\/vc_column_text][vc_custom_heading text=”The Challenges of a Data Mesh” use_theme_fonts=”yes” css=””][vc_column_text css=”” text_direction=”default”]\n

    The introduction of a data mesh is not trivial. It requires a profound change in mindset, processes, and technology. The main challenges include: <\/p>\n

      \n
    • Organizational adjustment:<\/strong> The division of data responsibility requires a clear definition of roles and responsibilities as well as close cooperation between the business departments and the central data team.<\/li>\n
    • Technical complexity:<\/strong> The decentralized data architecture requires a robust and scalable data platform, as well as the integration of different data sources and formats.<\/li>\n
    • Governance and Compliance:<\/strong> Ensuring data quality, security, and compliance in a decentralized environment requires a well-thought-out governance framework.<\/li>\n<\/ul>\n[\/vc_column_text][\/vc_column][vc_column column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][image_with_animation image_url=”249″ image_size=”full” max_width=”100%” max_width_mobile=”default” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” row_position_desktop=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none” gradient_type=”default” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” flex_gap_desktop=”10px” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ width=”1\/1″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][divider line_type=”Full Width Line” line_thickness=”2″ divider_color=”default”]
      \"\" <\/div>
      \n

      How dimajix helps your business<\/h2>\n

      As an expert in the field of big data, dimajix supports you in developing a uniform solution strategy to master the challenges of digital transformation <\/div>

      <\/div><\/div>[divider line_type=”No Line”][vc_row_inner equal_height=”yes” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” text_align=”left” row_position=”default” row_position_tablet=”inherit” row_position_phone=”inherit” overflow=”visible” pointer_events=”all”][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”small_depth” column_border_radius=”10px” column_link_target=”_self” overflow=”visible” enable_gradient=”true” color_overlay=”#FFB121″ color_overlay_2=”#1E73BE” advanced_gradient_angle=”42″ gradient_direction=”left_b_to_right_t” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” content_layout=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

      Concept and architecture<\/h3>\n

      Together, we develop a customized data mesh architecture that is tailored to your specific requirements and framework conditions.<\/p>\n

      Governance<\/h4>\n

      We help you define governance policies and processes that ensure data quality, security, and compliance.<\/p>\n

      Organizational structure<\/h4>\n

      We help you design the right organizational structure to clearly define responsibilities for data and foster collaboration between business and engineering departments.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”small_depth” column_border_radius=”10px” column_link_target=”_self” overflow=”visible” enable_gradient=”true” color_overlay=”#FFB121″ color_overlay_2=”#1E73BE” advanced_gradient_angle=”33″ gradient_direction=”left_b_to_right_t” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” content_layout=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

      Technology expertise<\/h3>\n

      Benefit from our many years of versatile experience in the areas of data lake and data mesh for your technology selection. Among other things: <\/p>\n

        \n
      • Hadoop Ecosystem, including Hive, Spark, Kafka, HBase etc<\/li>\n
      • Trino & Starburst<\/li>\n
      • dbt<\/li>\n
      • Azure SQL \/ SQL Server \/ Postgres<\/li>\n
      • and much more…<\/li>\n<\/ul>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner column_padding=”padding-2-percent” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_direction_desktop=”default” column_element_spacing=”default” desktop_text_alignment=”default” tablet_text_alignment=”default” phone_text_alignment=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_backdrop_filter=”none” column_shadow=”small_depth” column_border_radius=”10px” column_link_target=”_self” overflow=”visible” enable_gradient=”true” color_overlay=”#FFB121″ color_overlay_2=”#1E73BE” gradient_direction=”left_b_to_right_t” overlay_strength=”0.3″ width=”1\/3″ tablet_width_inherit=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” column_padding_type=”default” content_layout=”default” gradient_type=”default”][vc_column_text css=”” text_direction=”default”]\n

        Implementation<\/h3>\n

        With our many years of experience with data meshes and data lakes, you can actively support you in all relevant areas.<\/p>\n

        Data Platform<\/h4>\n

        An essential building block is the development of the necessary data platform on which the data products can be published and linked with each other. This requires the right technology to help you with. <\/p>\n

        Data Products<\/h4>\n

        The Data Mesh thrives on the data products that we implement together with your teams. At the same time, we build up the necessary knowledge in the development teams and departments to make the data mesh strategy a success.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"

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