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Table Of Contents
1.
In the Menus, click on File, thenSave, orclick theSave button in theToolbars.
2. If the data mapping configuration has never been saved, browse to the location where the
data mapping configuration should be saved and type a name, then click Save.
To save a copy of a data mapping configuration under a different name:
1.
In the Menus, click on File, thenSave As.
2. Browse to the location where the data mapping configuration should be saved and type a
name, then click Save.
Data Mapping Workflow
A data mapping workflow is a series of steps used to process and extract the data from Source
Records and store them into Records (see Data Model). Together with the data model, it is
what makes a data mapping configuration (See Data Mapping Configuration).
A data mapping workflow always starts with the Preprocessor step and ends with the
Postprocessor step. It can contains as many steps as needed for extracting the required data.
When working with a data mapping workflow, you need to consider the following:
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Promotional versus transactional data: Depending on the type of data, whether it is
promotional or transactional, you will use different extraction workflows. See About
Promotional and Transactional Data for more information.
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Steps: To extract data from the data sample, different steps are used that make up the
extraction process. See Steps for more information.
Selecting Data
In order to extract the data, it is necessary to first define the data to be extracted by selecting it.
The following topics contain information about how to create and manipulate a data selection,
and also how to create steps from it.
From a Text File
The Text data viewer displays the text-based contents of the Data Sample that is currently
active within the data mapping configuration in a grid-like fashion, with each character in the file
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