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A Heterogeneous Field Matching Method for Record Linkage Steven N. Minton and Claude Banjo Fetch Technologies 2041 Rosecrans Ave., Suite 245 El Segundo, CA 90245 Minton, banjo fetch.com Craig A. Knob
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To fill out a heterogeneous field matching, follow these steps: 1. Identify the fields that need to be matched. 2. Create a mapping table or schema to define the matching criteria. 3. Populate the mapping table with the corresponding field values from the different sources. 4. Implement an algorithm or logic to match the fields based on the defined criteria. 5. Test the heterogeneous field matching to ensure accuracy and reliability. 6. Regularly update and maintain the mapping table as new data sources or fields are added.

Who needs a heterogeneous field matching?

01
Heterogeneous field matching is needed by organizations or businesses that deal with multiple data sources or systems. It is particularly useful in data integration projects where data from different sources need to be consolidated and matched based on specific criteria. This can include industries such as finance, healthcare, customer relationship management, and data analytics.
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A heterogeneous field matching is a process used to compare data fields from different sources that may not be uniform in structure.
Entities or individuals who work with data sets from various sources and need to ensure compatibility and consistency in data fields are required to file a heterogeneous field matching.
To fill out a heterogeneous field matching, one must carefully compare and map data fields from different sources to ensure accurate matching.
The purpose of a heterogeneous field matching is to ensure that data fields from different sources can be accurately matched and compared for analysis or integration purposes.
Information such as data field names, types, and values must be reported on a heterogeneous field matching.
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