Schema overlap refers to the degree to which different data schemas share common elements or structures. It occurs when multiple databases or datasets have similar attributes, fields, or relationships, facilitating interoperability and data integration. Understanding schema overlap is crucial for tasks like data merging, migration, or analytics, as it helps identify compatible data sources and reduces redundancy. By leveraging schema overlap, organizations can enhance their data management and analysis capabilities.
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