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  • Multidomain MDM 10.4 HotFix 2
  • All Products

Table of Contents

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  1. Preface
  2. Introduction
  3. IDD Concepts
  4. Implementation Process
  5. IDD Configuration Manager
  6. Manual IDD Configuration
  7. IDD Global Properties
  8. Sizing and Platform Requirements
  9. Application Components
  10. IDD Security Configuration
  11. Data Security
  12. Example Role-Based Security Configuration
  13. Data Masking
  14. Siperian BPM Workflow Engine
  15. Locale Codes
  16. Troubleshooting
  17. Glossary

Data Director Implementation Guide

Data Director Implementation Guide

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Step 4. Configure Cleanse and Validation

Step 4. Configure Cleanse and Validation

Validation and cleanse are optional elements for a primaryObject, one2ManyChild, and many2ManyChild.
The IDD Configuration Manager does not create the cleanseFunction element - it merely binds the cleanse function to columns in the base object.
The data that the IDD application user has entered into the subject area attributes is fed into the cleanse function as inputs. The base object record is then updated by the outputs from the cleanse function.
The cleanse function can report validation errors if it is configured with a validationStatus output. If validation errors are found, then the IDD application displays any errors next to any field or fields with problems.
  1. Create the validation function library using the ValidationCleanseLib sample in the Informatica MDM Hub Resource Kit as a template.
  2. Using the Cleanse Functions tool in the Hub Console, deploy the created cleanse library into the ORS.
  3. Using the Cleanse Functions and Mappings tools in the Hub Console, create cleanse functions and mappings to be used in IDD applications.
  4. Using the Configuration Manager, configure these functions for use in an IDD application (in the subject area Edit dialog).
  5. Deploy and test the cleanse and validation functions. Verify that all fields are properly cleansed and validated.
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