Data integration involves combining data from different sources into a unified view. This process is commonly used to consolidate data from various databases, applications, and systems, providing a comprehensive and consistent dataset for reporting, analysis, and decision-making. Common techniques include ETL (Extract, Transform, Load), data virtualization, and data replication.
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