Scenario 1: Selecting the best-of-breed data from a group of duplicates to create a
survivor
This scenario applies only to a subscription-based Talend Platform solution or Talend Data Fabric.
The Job in this scenario groups the duplicate data and create one single representation of
these duplicates. This representation is the “survivor” at the end of the selection process
and you can use this survivor, for example, to create a master copy of data for MDM.

The components used in this Job are:
-
tFixedFlowInput: it provides the input data
to be processed by this Job. In the real-world use case, you may use another
input component of interest to replace tFixedFlowInput for providing the required data. -
tMatchGroup: it groups the duplicates of the
input data and gives each group the information about its group ID and group
size. The technical names of the information are GID and GRP_SIZE respectively
and they are required by tRuleSurvivorship. -
tRuleSurvivorship: it creates the
user-defined survivor validation flow to select the best-of-breed data that
composes the single representation of each duplicates group. -
tFilterColumns: it rules out the technical
columns and outputs the columns that carry the actual information of interest. -
tLogRow: it presents the result of the Job
execution.