In the Entity Selection dialog, select the data source file name you want to import

Working with Oracle Data Quality Products 16-7 p1.stx where N is the internal ID of the entity corresponding to the quality input file if the first process is a transformer. 12. Change the following input parameters in the settings file: ■ In DATA_FILE_NAME, specify the name and location absolute path of your quality input file in run-time. ■ In FILE_DELIMITER, specify the delimiter used in the quality input file. ■ In START_RECORD, specify the line number where data starts. For example, if there is a 1 line header, the value should be 2. For example, if you have the customer_master.csv quality input file comma-separated with one header line located in C:oracleoracledqmetabase_datametabaseoracledqData, you should edit the following section: CATEGORYINPUTPARAMETERINPUT_SETTINGS ARGUMENTS ENTRY ENTRY_ID1ENTRY_ID FILE_QUALIFIERCustomer_Master1FILE_QUALIFIER DATA_FILE_NAMEINPUTe1_customer_master.datDATA_FILE_NAME DDL_FILE_NAMEDDLe1_customer_master.ddxDDL_FILE_NAME FILE_DELIMITER USE_QUOTES_AS_QUALIFIER START_RECORD as shown below: CATEGORYINPUTPARAMETERINPUT_SETTINGS ENTRY ENTRY_ID1ENTRY_ID FILE_QUALIFIERCustomer_Master1FILE_QUALIFIER DATA_FILE_NAMEC:\oracle\oracledq\metabase_ data\metabase\oracledq\Data\customer_master.csv DATA_FILE_NAME DDL_FILE_NAMEDDLe1_customer_master.ddxDDL_FILE_NAME FILE_DELIMITER,FILE_DELIMITER USE_QUOTES_AS_QUALIFIER START_RECORD2START_RECORD 13. Save and close the settings file. 14. Also in the settings directory, open the file that corresponds to the settings of the process generating the output cleansed data. Typically, for a cleansing project which finishes with a Data Reconstructor process, it is named with eNN_ datarec_pXX.stx. Change the following value in the settings file to give the full path of the generated output file. CATEGORYOUTPUTPARAMETER OUTPUT_SETTINGS ARGUMENTS FILE_QUALIFIEROUTPUTFILE_QUALIFIER DATA_FILE_NAMEC:\oracle\oracledq\metabase_ data\metabase\oracledq\Data\customer_master_cleansed.csv DATA_FILE_NAME DDL_FILE_NAMEDDLe36_us_datarec_p11.ddxDDL_FILE_NAME 15. Save and close the settings file. 16. If you have several data quality processes that generate useful output files for example, one data reconstructor per country. Repeat the two previous steps for each of these processes. 16-8 Oracle Fusion Middleware Developers Guide for Oracle Data Integrator

16.2.6 Reverse-engineer the Entities

In order to provide the Quality process with input data and use its output data in data integrators integration processes, it is necessary to reverse-engineer these Entities. This operation is performed using a customized reverse-engineering method based on the Oracle Data Quality RKM. The RKM reads metadata from the .ddx files located in the ddl folder of your data quality project. To reverse-engineer the Entities of a data Quality project:

1. Import the RKM Oracle Data Quality into your Oracle Data Integrator project.

2. Insert a physical schema for the File technology in Topology Manager. Specifying

for both, the Directory Schema and the Directory Work Schema, the absolute path of your data folder. For example C:\oracle\oracledq\metabase_ data\metabase\oracledq\projectN\data This directory must be accessible to the agent that will be used to run the transformations. Oracle Data Integrator will look in the schema for the source and target data structures for the interfaces. The RKM will access the output data files and reverse-engineer them.

3. Create a File model and reverse the ddl folder.

1. In Designer Navigator expand the Models panel.

2. Right-click then select New Model.

3. Enter the following fields in the Definition tab:

Name : Name of the model used in the user interface. Technology : File Logical Schema : Select the Logical Schema on which your model will be based.

4. In the Reverse tab and select:

5. Set the RKM options as shown in Table 16–1 : Parameter ValueAction Reverse : Customized Context : Reverse-engineering Context Type of objects to reverse-engineer : Table KM Select the RKM Oracle Data Quality