Data architecture defines how data is collected, stored, processed, and accessed within an organization. It involves creating blueprints for data flows, databases, and integrations to ensure consistency and security. Used by data engineers, analysts, and IT teams, it enables efficient analytics, supports business intelligence, and helps enterprises scale decision-making while reducing redundancy.
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