Table of Contents

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  1. Preface
  2. Introduction
  3. Accessing Data Archive
  4. Working with Data Archive
  5. Scheduling Jobs
  6. Viewing the Dashboard
  7. Creating Data Archive Projects
  8. Salesforce Archiving
  9. SAP Application Retirement
  10. Creating Retirement Archive Projects
  11. Integrated Validation for Archive and Retirement Projects
  12. Retention Management
  13. External Attachments
  14. Data Archive Restore
  15. Data Discovery Portal
  16. Data Visualization
  17. Oracle E-Business Suite Retirement Reports
  18. JD Edwards Enterprise Retirement Reports
  19. Oracle PeopleSoft Applications Retirement Reports
  20. Smart Partitioning
  21. Smart Partitioning Data Classifications
  22. Smart Partitioning Segmentation Policies
  23. Smart Partitioning Access Policies
  24. Language Settings
  25. Appendix A: Data Vault Datatype Conversion
  26. Appendix B: Special Characters in Data Vault
  27. Appendix C: SAP Application Retirement Supported HR Clusters
  28. Appendix D: Glossary

Clean Up After Segmentation Job

Clean Up After Segmentation Job

The clean up after segmentation job cleans up temporary tables after the smart partitioning process is complete. The job also gives you the option to drop the original, unpartitioned tables.
SourceRep
Source connection for the segmentation group. Choose from available source connections.
SegmentationGroupName
Name of the segmentation group that you ran a segmentation policy on. Choose from available segmentation groups.
DropManagedRenamedTables
Drops the original unpartitioned table. Choose Yes or No.
Default is No.

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