Computing suspect pairs and suspect sample from source data - 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.

In this example, tMatchPairing uses a blocking key to compute the pairs of suspect duplicates in a list of early childhood education centers in Chicago.

The use case described here uses:

  • a tFileInputDelimited component to read the source file, which contains a list of early childhood education centers in Chicago coming from ten different sources;

  • a tMatchPairing component to pre-analyze the data, compute pairs of suspect duplicates and generate a pairing model which is used by the tMatchPredict component;

  • three tFileOutputDelimited components to output the suspect duplicates, a sample of suspect pairs and the unique records; and

  • a tLogRow component to output the exact duplicates.