Using survivorship functions to merge two records and create a master record - 7.0

Data 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 > Data matching components
Data Quality and Preparation > Third-party systems > Data Quality components > Matching components > Data matching components
Design and Development > Third-party systems > Data Quality components > Matching components > Data 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 basic Job that uses the T-Swoosh algorithm to find duplicates in customer names. It compares values in the first_name column using matching and survivorship methods, groups similar records together and creates single representations of entities in each group by merging two similar records according to a survivorship rule.

These master records are new records that do not exist in the input data.

You can use several matching passes with the T-Swoosh algorithm in a Job. Each pass provides the survived masters for each group and the original records to the second pass. However, intermediate master records are removed from the output flow. Only final master and original records are kept at the end.

In this Job:

  • The tFileInputDelimited component provides the customer records to be processed.

  • The tMatchGroup component processes data using matching and survivorship methods.

  • The tLogRow component presents the matching and survivorship results.