What This Guide Covers
Data Architecture defines how data is structured, governed, shared, and consumed across the enterprise. This guide blends TOGAF Data Architecture concepts with modern data platform practices such as lakehouse architectures, streaming, and data governance.
1. Data Architecture in TOGAF
TOGAF defines Data Architecture as the structure of an organization’s logical and physical data assets and data management resources.
- Data entities and information concepts
- Data flows and data ownership
- Data lifecycle and governance
- Data management capabilities
2. Modern Data Platforms
Modern data platforms support analytics, operational data, and real-time decisioning.
- Data lake / lakehouse architectures
- Data pipelines and orchestration
- Streaming and event-driven data
- Data virtualization and federation
3. Data Governance
Governance ensures data is trusted, secure, and well-managed.
- Data ownership and stewardship
- Metadata and lineage
- Data quality management
- Access control and privacy
4. Data Sharing and Integration
Data Architecture intersects with Integration Architecture through data flows, APIs, and event streams.
- APIs for data access
- Event streams for real-time data
- Batch and file-based data exchange
- Data products and domain-oriented data sharing
Downloadable Assets
- Data Platform Reference Architecture (PDF)
- Data Governance Checklist (PDF)
- Data Flow Mapping Template (PDF)
- Data Ownership & Stewardship Matrix (PDF)