Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Test Data Management 10.5
  • All Products

Table of Contents

Search

  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Appendix A: Data Type Reference
  21. Appendix B: Data Type Reference for Test Data Warehouse
  22. Appendix C: Data Type Reference for Hadoop
  23. Appendix D: Glossary

User Guide

User Guide

Back Next

Creating the Variable Columns

Creating the Variable Columns

Create variable columns in the advanced masking rule.
  1. Create a variable column to shuffle AddressLine3 based on ZIP. Click
    Create Input Column
    .
    The
    Add Column
     window appears.
  2. Enter the following general properties:
    • Column name. Enter v_AddressLine3.
    • Column type. Select Variable.
    • Datatype. Select String.
    • Precision. Select 10.
    • Scale. Select 10.
    • Mandatory. Select the check box.
  3. Select the masking rule masking property. Configure the following masking properties:
    • Condition. Leave blank.
    • Rule. Select the shuffle rule that you created in Step 2.
    • Override Properties. Select None.
    • Lookup column. Select i_ZIP.
    • Input column. Select i_AddressLine3.
    The following image shows the v_AddressLine3 column properties:
    The left pane shows the general properties and the right pane shows the masking properties for the v_AddressLine3 variable column.
  4. Click
    OK
    .
    The v_AddressLine3 variable column appears in the list of variable columns.
  5. Create a variable column to mask AddressLine2 based on the masked value of AddressLine3. Click
    Create Input Column
    .
    The
    Add Column
     window appears.
  6. Enter the following general properties:
    • Column name. Enter v_AddressLine2.
    • Column type. Select Variable.
    • Datatype. Select String.
    • Precision. Select 10.
    • Scale. Select 10.
    • Mandatory. Select the check box.
  7. Select the dependent masking property. Configure the following masking properties:
    • Input column. Select v_AddressLine3.
    • Dictionary column. Select i_AddressLine2.
    The following image shows the v_AddressLine2 column properties:
    The left pane shows the general properties and the right pane shows the masking properties for the v_AddressLine2 variable column.
  8. Click
    OK
    .
    The v_AddressLine2 variable column appears in the list of variable columns.
  9. Create a variable column to mask AddressLine1 based on the masked value of AddressLine3. Click
    Create Input Column
    .
    The
    Add Column
     window appears.
  10. Enter the following general properties:
    • Column name. Enter v_AddressLine1.
    • Column type. Select Variable.
    • Datatype. Select String.
    • Precision. Select 10.
    • Scale. Select 10.
    • Mandatory. Select the check box.
  11. Select the dependent masking property. Configure the following masking properties:
    • Input column. Select v_AddressLine3.
    • Dictionary column. Select i_AddressLine1.
  12. Click
    OK
    .
    The v_AddressLine1 variable column appears in the list of variable columns.
0 COMMENTS
We’d like to hear from you!