Data Architecture describes the infrastructure that connects a Business Strategy and Data Strategy with technical execution. Ideally, Data Architecture happens within a systematic framework, providing a foundation for people and systems to work with data.
Three types of components underlie the architecture infrastructure and connect to drive insights, make data-driven decisions, and manage risk. They include:
- Outcomes: Models, definitions, and data flows, depicted at various levels, usually referred to as “architecture artifacts”
- Activities: The forms, deploys, and fulfills of the architecture intentions
- Behaviors: Collaborations, mindsets, and skills impacting business teams, roles, and enterprise architecture
