Data architecture describes the structure of an organization’s logical and physical data assets, and data management resources, according to The Open Group Architecture Framework...

A data architecture can draw from popular enterprise architecture frameworks, including TOGAF, DAMA-DMBOK 2 and the Zachman Framework for Enterprise Architecture.

An enterprise architecture framework (EA framework) defines how to create and use an enterprise architecture. An architecture framework provides principles and practices for creating and using the architecture description of a system.

Jun 3, 2020 · Many data-architecture leaders have pivoted from a central enterprise data lake toward “domain-driven” designs that can be customized and “fit for purpose” to improve time to market of new data products and services.

Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization.

Enterprise Data Architecture (EDA) is a strategic framework that outlines how data is collected, stored, managed, integrated, and utilized across an organization. It aligns data initiatives with business objectives and ensures that data assets are leveraged to their fullest potential.

Mar 20, 2025 · Enterprise Data Management (EDM) is a comprehensive framework that treats data as a valuable corporate asset, encompassing various functions such as data governance, architecture, security, integration, and quality management to …

May 3, 2024 · FEAF is an enterprise data architecture framework used by government and federal agencies. With this framework, agencies remain guided by policies as they deliver IT-related services. It also includes architectural components for …

Data architecture is a discipline that documents an organization's data assets, maps how data flows through IT systems and provides a blueprint for managing data. Its goal is to ensure that data is managed properly and meets business requirements for information used to drive decision-making.

Jun 10, 2023 · This article covers all aspects of data architecture, from basics to vital components, roles, data modeling, and different frameworks. We’ll also guide you through building robust data architecture and discuss its evolution, business impacts, and prospects.