As a service administrator, you can use the Fusion Data Intelligence extract service to acquire data from the
        Enterprise Data Management Cloud instance and use it to create data
        augmentations.
               
The extracts created in the Enterprise Data Management Cloud service
                need to be public, hence you must promote your private extracts to the public.
                Review the documentation and error messages for the metadata refresh failures for
                the private extract. This connector supports only the CSV data format.
Ensure that Oracle Enterprise Data
                    Management Cloud is enabled on the Enable Features page prior to
                creating this connection. See Make Preview Features Available.
                  
 
- In Fusion Data Intelligence, create the Enterprise Data
                    Management Cloud data connection using these instructions: 
- In Fusion Data Intelligence
Console, click Data
                                Configuration under Application
                                Administration.
- On the Data Configuration page, click Manage
                                Connections.
- On the Manage Connections page, click Create and
                            then click Connection.
- In Create Connection, select Data Extraction in
                                Usage Type and then select Oracle
                                Enterprise Data Management Cloud as the connection type. 
- In the dialog for the Enterprise Data Management Cloud connection,
                            select Standard in Connectivity
                                Type, enter an email address to receive notifications in
                                Notification Email, host name of the Oracle
                            Enterprise Data Management server in Host Name,
                            credentials to access the Enterprise Data Management Cloud instance in
                                User Name and
                            Password. In Extract
                                Configuration, enter the list of extracts using only
                            “comma” as the delimiter. The configuration extract must be a single
                            line JSON without formatting for the quotation marks (" instead of \"),
                            for example: 
[{"applicationName": "Account Reconciliation", "dimensionName": "Profiles","extractName": "Profiles"}]
 
 
- Verify that the Refresh Metadata toggle is
                            enabled to ensure that the metadata is refreshed when you save the
                            connection. You can later refresh the metadata from the Actions menu
                            on the Manage Connections page, if required. 
                                Note
 
 You can’t create
                                augmentations for Enterprise Data Management Cloud unless you
                                perform a metadata extract.
 
- Click Save. 
 
- On the Manage Connections page, select Actions for the
                    Enterprise Data Management Cloud connection and then select Test
                        Connection.
- To delete a connection, on the Manage Connections page, click
                        Actions for the applicable connection and select
                        Delete.
 Note
 
 Ensure that you delete the
                        functional areas, data augmentations, and custom data configurations related
                        to the data connection before deleting it. You can't update or load data
                        from deleted data connections to the warehouse.
 
 
- After the connections are successfully established, navigate to the Data
                    Configuration page, select the connection in Data Source,
                    then click the Data Augmentation tile, and create a data augmentation using the
                    Enterprise Data Management Cloud data. Select the applicable Enterprise Data
                    Management Cloud source tables. See Augment Your Data.