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Data Architecture

Data Architecture is a framework for managing and organizing an organization's data assets. It defines how data is collected, stored, managed, and used, ensuring that data is available, accurate, and secure. Data architecture encompasses data models, databases, data warehouses, data lakes, and data governance policies. It plays a critical role in enabling data-driven decision-making, improving data quality, and ensuring compliance with data regulations.
Related Terms
ConsistencyCross-Cutting ConceptEvent-Driven ProgrammingCyclomatic Complexity
What are the key components of data architecture?
The key components of data architecture include data models, databases, data warehouses, data lakes, and data governance policies.
How does data architecture support data-driven decision-making?
Data architecture supports data-driven decision-making by ensuring that data is collected, stored, managed, and used in a way that makes it available, accurate, and secure for analysis and reporting.
Why is data governance important in data architecture?
Data governance is important because it establishes policies and procedures for managing data assets, ensuring data quality, security, and compliance with regulations.