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Data matching (or Duplicate Detection or Record Linkage) Helena Mallards DEI IST References n n n n n n Chapter 7 (Sects. 7.1, 7.2, 7.3, 7.7), Principles of Data Integration by Anhui Down, Along Haley,
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How to fill out data matching or duplicate

How to fill out data matching or duplicate:
01
Start by determining the purpose of data matching or duplicate. Are you trying to identify and eliminate duplicate entries in a database, or are you trying to match similar records across multiple sources?
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Collect all the relevant data sources that you want to compare or merge. This can include databases, spreadsheets, or any other structured data sources.
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Cleanse the data by removing any inconsistencies, errors, or invalid entries. This step is crucial to ensure accurate matching or duplication identification.
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What is data matching or duplicate?
Data matching or duplicate is the process of comparing data from multiple sources to identify similar or identical records.
Who is required to file data matching or duplicate?
Entities or organizations that handle large amounts of data and need to ensure accuracy and consistency in their records are required to file data matching or duplicate.
How to fill out data matching or duplicate?
To fill out data matching or duplicate, one must first collect data from different sources, then use software or tools to compare the data and identify duplicates or discrepancies. Finally, the duplicates must be resolved or merged to create a clean and accurate dataset.
What is the purpose of data matching or duplicate?
The purpose of data matching or duplicate is to improve data quality, reduce errors, eliminate duplicates, and ensure consistency across multiple databases.
What information must be reported on data matching or duplicate?
The information that must be reported on data matching or duplicate includes details of the data sources being compared, the criteria used for matching records, the number of duplicates identified, and any actions taken to resolve duplicates.
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