Comparing four columns using different matching methods and collecting encountered duplicates - 7.0

Fuzzy matching

author
Talend Documentation Team
EnrichVersion
7.0
EnrichProdName
Talend Big Data Platform
Talend Data Fabric
Talend Data Management Platform
Talend Data Services Platform
Talend MDM Platform
Talend Real-Time Big Data Platform
task
Data Governance > Third-party systems > Data Quality components > Matching components > Fuzzy matching components
Data Quality and Preparation > Third-party systems > Data Quality components > Matching components > Fuzzy matching components
Design and Development > Third-party systems > Data Quality components > Matching components > Fuzzy matching components
EnrichPlatform
Talend Studio

This scenario applies only to Talend Data Management Platform, Talend Big Data Platform, Talend Real Time Big Data Platform, Talend Data Services Platform, Talend MDM Platform and Talend Data Fabric.

For more technologies supported by Talend, see Talend components.

This scenario describes a four-component job aiming at collecting in two separate files all unique entries and all duplicate entries from few defined processed columns based on the Levenshtein and Double Metaphone matching types.

The input file in this example looks like the following:

ID;Status;FirstName;Email;City;Initial;ZipCode
1;married;Paul;pnewman@comp.com;New York;P.N.;55677
2;single;Raul;rnewman@comp.com;New Ork;R.N.;55677
3;single;Mary;mnewman@comp.com;Chicago;M.N;66898