Matching two records - Cloud - 8.0

Data matching with Talend tools

Version
Cloud
8.0
Language
English
Product
Talend Big Data Platform
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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
You can use the tMatchGroup component to detect duplicates and define how to merge similar records to create a master record.

Creating a master record is an iterative process: each new master record can be used to find new duplicates.

You can choose between two different algorithms to create master records:

  • Simple VSR Matcher
  • T-Swoosh

The main difference between the two algorithms is that T-Swoosh creates, for each master record, a new record that does not exist in the list of input records.