Data architecture refers to the design, organization, and management of data assets and systems within an organization to support business objectives, data governance, and analytics requirements. It involves defining data models, schemas, and workflows for capturing, storing, processing, and analyzing structured and unstructured data across different sources and systems. Readers can explore data architecture principles, methodologies, and best practices for designing scalable, flexible, and secure data infrastructure, enabling data-driven decision-making and innovation in organizations.