Labeling suspect pairs with assigned labels - 7.0

Matching with machine learning

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 > Matching with machine learning components
Data Quality and Preparation > Third-party systems > Data Quality components > Matching components > Matching with machine learning components
Design and Development > Third-party systems > Data Quality components > Matching components > Matching with machine learning components
EnrichPlatform
Talend Data Stewardship
Talend Studio

This scenario applies only to subscription-based Talend Platform products with Big Data and Talend Data Fabric.

For more technologies supported by Talend, see Talend components.

For further information about the two workflows used when matching with Spark, see Matching on Spark.

The use case described here uses:

  • a tFileInputDelimited component to read the input suspect pairs generated by tMatchPairing;

  • a tMatchPredict component to label suspect records automatically and groups together suspect records which match the label set in the component properties; and

  • a tFileOutputDelimited component output the labeled duplicate records and the groups created on the suspect records which match the label set in tMatchPredict properties.