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.
In this scenario, a four-component Job creates an index storing people names and their relative nicknames.
The source data to be used in this scenario is stored in a .csv file, an extract of which is shown below:
Country;FirstName;Nickname1;Nickname2;Nickname3;Nickname4 France;Anne;Ninon;Annie;Ninette;Ann France;Bernadette;Nad;Netty;Dadette France;Albert;Al France;Alexandre;Alex France;Alfred-Hubert;Alu France;Andrew;Andy France;Anthony;Anton;Tony;Tonio France;Artus;Artie France;Benoit;Ben France;Catherine;Cate;Katherine;Kathryn France;Charles;Charlie;Charlot;Chuck France;Christophe;Christian;Chris;Kris;Kristof France;Christian;Chris
This data describes people's home country (not to be inserted into the index), first names (reference entries) and frequently used nicknames (synonyms).
The four components used in this Job are:
tFileInputDelimited: this component reads the source data and inputs them to tSynonymOutput.
tMap: this component is used to transform the source data into two separated columns representing the first names and the nicknames, in the meantime, ignoring the people's home country information.
tSynonymOutput: this component creates the index of interest in this scenario and feeds it with the synonyms given in the source file.
tLogRow: this component lists the data that have been inserted into the newly created index.