erwin Data Transformation 9.2.5 - User Guide

EA Agile Adapter

EA Agile Adapter

When creating a workspace configuration, adapters to import / export data from workspace are automatically created (the working folder is the one set as “Export folder”):

•Select the name of the EA Agile Adapter from the drop-down list Name (only the “EA Agile Adapters for export” will be shown in the list)

•Select the object type from the drop-down list “Select Object Type”

•Click the “Apply” button to save the data source

•A preview of the source fields will be shown

It’s also possible to choose which Properties/Associations

extract through an EA Agile Adapter for the selected object type. The “Source Filters” button allow user to pick only the desired information, while default operation includes all of them.

EA Agile V3 Adapter

EA Agile V3 Adapter

When creating a workspace configuration for EA Agile V3, adapters to import / export data from the platform are automatically created (the working folder is the one set as “Export folder”):

•Select the name of the EA Agile V3 Adapter from the drop-down list Name (only the “EA Agile V3 Adapters for export” will be shown in the list)

•Select the object type from the drop-down list “Select Object Type”

•Click the “Apply” button to save the data source

•A preview of the source fields will be shown

It’s also possible to choose which Properties/Associations

extract through a EA Agile V3 Adapter for the selected object type. The “Source Filters” button allow user to pick only the desired information, while default operation includes all of them.

It is also possible to optionally select a “Container type” for the selected; for an object type that contains either an object of the same type or the selected object type as a terminal node, the hierarchy of the source object type will be resolved in generated fields. This cannot be combined reliably with the source filters.

Regardless of the data source type, it is possible to insert more than one data source in the same workflow of the same type or of different types); each data source is then marked with a sequence number.

In this case you have a “multi source” workflow, and a specific “multisource job” is created to be scheduled and produce all the different data sets involved at the same time (thus ensuring the time consistency of the whole set of related information).  The data sources defined in a workflow will be displayed in the section Source Definition in the left upper area of the Workflow window:

It’s possible to select one of these data sources to modify it. Please be careful, as when a user modifies the source of a workflow, all fields will be deleted for the transformation and mapping rules, where they are not required by the new source definition.

The  button deletes the selected source from the workflow; the  button clears all the settings for the selected source.

Transformation

Transformation

To define the transformations in the intermediate step of the new Workflow follow the following steps in the section Transformation Configuration:

•Click on the ADD button to insert a transformation. It’s possible to add more than one transformation for each workflow and apply a specific transformation to the data source fields or to the new columns coming from a previous transformation of the same workflow. - Select the transformation from the “Transformation” and “Activity” drop-down lists

•Click the “Apply” button to apply the selected transformation rule

The available Transformations and Activities are:

Data Cleansing

Data Cleansing

Data Type Check

The “Data Type Check” Transformation applies in the case the user needs to check the format of the columns and perform an action in case the data format is not compliant with the specified format. The actions are drop text (exclude from the following workflow steps only the invalid format values in the specified column), drop row (exclude from the following workflow steps the whole record containing an invalid value for any specified column) or drop file (discard the entire file – no following operations will be performed). All these configurations may be done separately for each source field.

Not Allowed Text Check

The “Not Allowed Text Check” Transformation applies when it’s required to check if in the selected column there is a specific string value and perform an action in the case of invalid data.

If a cell contains a value containing that text (i.e. is not valid) the user can choose the action to perform. The possible choices of action are drop text (remove specified text from the cells in the specified column), drop row (exclude from the following workflow steps the whole record containing an invalid value for any specified column) or drop file (discard the entire file – no following operations will be performed). All these configurations may be done separately for each source field.         

Normalize Blank Spaces

The “Normalize Blank Spaces” Transformation applies when it’s required to delete some redundant blank spaces in the cell value. It’s possible to choose between “Left Trim”, “Right Trim”, “Trim (both sides)”, “Normalize Blank Spaces” (this will trim blank spaces from both sides and delete internal spaces between words if more than one. All these configurations may be done separately for each source field.