Transformations > Target transformation
  

Target transformation

Use the Target transformation to define the target connection and target object for the mapping. You can use one or more Target transformations in a mapping.
Based on the connection type, you can define advanced target options, specify to use a new or existing target object, or configure update columns for the target. The target options that appear also depend on the connection type that you select. For example, when you select a Salesforce connection, you can configure success and error log details.
You can use file, database, and Informatica Cloud Data Integration connections in the Target transformation. If you create an elastic mapping, refer to Administrator in the Administrator help for information about supported connectors.
The following properties are available for the Target transformation:

Target example

You might work with a flat file target in a mapping that reads Salesforce user account data but excludes user preference data. A Source transformation reads data from the Account object and the related User object.
The Target transformation uses a flat file connection that writes to the following directory: C:\UserAccountData. The default All Fields rule includes all incoming fields. You create a Named Field rule to exclude the unnecessary user preferences fields.
When you select Create New Target at Runtime, you enter the following name for the target file: SF_UserAccount_%d%m%y.csv.
The mapping task creates a target file named SF_UserAccount_291116.csv in the C:\UserAccountData directory when the task runs on November 29, 2016. The target file includes all fields from the Salesforce Account and User objects except for the user preferences fields specified in the Named Fields rule.