Computing suspect pairs and suspect sample from source data - Cloud - 8.0

Data matching with Talend tools

Version
Cloud
8.0
Language
English
Product
Talend Big Data Platform
Talend Data Fabric
Talend Data Management Platform
Talend Data Services Platform
Talend MDM Platform
Talend Real-Time Big Data Platform
Module
Talend Studio
Content
Data Governance > Third-party systems > Data Quality components > Matching components > Continuous matching components
Data Governance > Third-party systems > Data Quality components > Matching components > Data matching components
Data Governance > Third-party systems > Data Quality components > Matching components > Fuzzy matching components
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 > Continuous matching components
Data Quality and Preparation > Third-party systems > Data Quality components > Matching components > Data matching components
Data Quality and Preparation > Third-party systems > Data Quality components > Matching components > Fuzzy matching 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 > Continuous matching components
Design and Development > Third-party systems > Data Quality components > Matching components > Data matching components
Design and Development > Third-party systems > Data Quality components > Matching components > Fuzzy matching components
Design and Development > Third-party systems > Data Quality components > Matching components > Matching with machine learning components
Last publication date
2024-02-06

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

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.