Data Architecture
Data architecture is like designing city infrastructure—making sure roads, utilities, and zoning all support growth and efficiency.
Definition
Data Architecture defines the structure and integration of data systems and platforms that support business operations and analytics. It aligns data strategy with technical design to ensure scalability, usability, and adaptability across the enterprise.
- Structures how data is stored, moved, and accessed
- Ensures scalability, integrity, and consistency
- Aligns business strategy with technical design
Core Components
- Data Platforms & Storage Strategies
- Data Flow Diagrams & Integration Patterns
- Domain-Driven Design & Data Mesh Concepts
- Architectural Principles & Governance Models
- Security, Privacy, and Compliance by Design
Example in Practice
A global retailer builds a unified architecture across cloud and on-premise systems, enabling consistent product data flow from supply chain to sales and marketing—with shared definitions, controlled vocabularies, and robust integration layers.
Key Techniques & Tools
- Enterprise Architecture Frameworks (TOGAF, Zachman)
- Cloud Platforms (AWS, Azure, GCP)
- Data Mesh & Federated Architecture Models
- Architecture Modeling Tools (Lucidchart, ArchiMate)
Upcoming Events & Content
April 17, 2026: "Designing for the Future: Practical Approaches to Scalable Data Architecture"
Who Should Attend: Data architects, engineers, platform owners, enterprise strategists
Vendor Partners in this Space
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DAMA International (DAMA-I) is a not-for-profit, vendor independent association of technical and business professionals dedicated to advancing the concepts and practices for data resource management and enterprise information. DAMA-I is the parent organization of the DAMA-MN, and has chapters and members throughout the world.