Introduction to Oracle Data Quality Products

Working with Oracle Data Quality Products 16-5

16.2.3 Create a Profiling Project

You can now run a Data Profiling Project with Oracle Data Profiling to find quality problems. Profiling discovers and analyzes the quality of your enterprise data. It analyzes data at the most detailed levels to identify data anomalies, broken filters and data rules, misaligned data relationships, and other concerns that allow data to undermine your business objectives. For more information on Data Profiling see Working with Oracle Data Profiling in the Online Help for Oracle Data Profiling and Oracle Data Quality.

16.2.4 Create a Oracle Data Quality Project

You can now create an Oracle Data Quality Project to validate and transform your data, and resolve data issues such as mismatching and redundancy. Oracle Data Quality for Data Integrator is a powerful tool for repairing and correcting fields, values and records across multiple business contexts and applications, including data with country-specific origins. Oracle Data Quality for Data Integrator enables data processing for standardization, cleansing and enrichment, tuning capabilities for customization, and the ability to view your results in real-time. A Quality Project cleanses input files and loads cleansed data into output files. At the end of your Oracle Data Quality project this input file may be split into several output files, depending on the data Quality project. Important Note: A Data Quality project contains many temporary entities, some of them not useful in the integration process. To limit the Entities reversed-engineered for usage by Oracle Integrator, a filter based on entities name can be used. To use this filter efficiently, it is recommended that you rename in your quality project the entities that you want to use in Oracle Data Integrator in a consistent way. For example rename the entities ODI_IN_XXX and the output and no-match files ODI_OUT_XXX , where XXX is the name of the entity. For more information on Data Quality projects see Working with Oracle Data Quality in the Online Help for Oracle Data Profiling and Oracle Data Quality.

16.2.5 Export the Data Quality Project

Oracle Data Integrator is able to run projects exported from Oracle Data Quality. Once the Data Quality project is complete, you need to export it for Oracle Data Integrator. The exported project contains the data files, Data Dictionary Language DDL files, settings files, output and statistics files, user-defined tables and scripts for each process module you in the project. An exported project can be run on UNIX or Windows platforms without the user interface, and only requires the Oracle Data Quality Server. To create a batch script: 1. In the Explorer or Project Workflow, right-click the Oracle Data Quality project and select Export... ODQ Batch Project No data. 2. In Browse for Folder, select or make a folder where you want the project to be exported.

3. Click OK. A message window appears indicating that the files are being copied.

This export process creates a folder named after the metabase metabase_ name at the location that you specified. This folder contains a projectN sub-folder where N is the project identifier in Oracle Data Quality. This project folder contains the following folders among others: