Generating functional keys in the output flow - 7.3

Identification

Version
7.3
Language
English
Product
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Real-Time Big Data Platform
Module
Talend Studio
Content
Data Governance > Third-party systems > Data Quality components > Identification components
Data Quality and Preparation > Third-party systems > Data Quality components > Identification components
Design and Development > Third-party systems > Data Quality components > Identification components
Last publication date
2024-02-21

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 three-component scenario describes a basic Job that generates a functional key for each of the data records using one algorithm on one of the input columns, PostalCode.

This functional key can be used in different ways to narrow down the results of data filtering or data matching, for example. So the tGenKey component can be used with so many other data quality and data integration components to form different useful use cases. For an example of one use case of tGenKey, see Comparing columns and grouping in the output flow duplicate records that have the same functional key.

In this scenario, the input data flow has four columns: Firstname, Lastname, DOB (date of birth), and PostalCode. This data has problems such as duplication, first or last names spelled differently or wrongly, different information for the same customer, etc. This scenario generates a functional key for each data record using an algorithm that concatenates the first two characters of the postal code.