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Matching Large Schemas with COMA++ Erhard RAM, Songhai Do David Mueller, Sabine Massmannhttp://dbs. Leipzig.database Group U Leipzig (Feb. 2005) Projects: Metadata MGMT (COMA++), Data Integration
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Matching large schemas is typically done with specialized software tools that can handle the complexity and scale of the data.
Companies or individuals who deal with large amounts of data that need to be matched and analyzed are required to file matching large schemas.
Matching large schemas involves organizing and aligning the data sets according to predefined rules and criteria, usually using data processing and analysis tools.
The purpose of matching large schemas is to identify patterns, relationships, and discrepancies within the data that can provide valuable insights for decision-making.
The information reported on matching large schemas typically includes the data sets being matched, the criteria used for matching, and any findings or insights obtained from the analysis.
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