Data Architecture
Data Architecture is a framework of models, policies, rules, and standards that govern how data is collected, stored, arranged, integrated, and used in an organization. It defines the structure, flow, and management of data assets to ensure they are reliable, accessible, and secure, supporting business goals and data-driven decision-making. This includes components like data models, data warehouses, data lakes, and governance processes.
Developers should learn Data Architecture to design scalable, efficient, and maintainable data systems, especially when building applications that handle large volumes of data, require real-time analytics, or integrate multiple data sources. It is crucial in roles involving big data, machine learning, business intelligence, or enterprise software to ensure data quality, compliance, and performance optimization.