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

Create Seamless Data Access Job

Create Seamless Data Access Job

The Data Archive Seamless Data Access job creates the two schemas and populates them with the appropriate synonyms and views.
Provide the following information to run this job:
  • Source. Database with production data.
  • Target. Database with archived data.
  • Combined Schema Name. Schema name for seamless access across the two databases.
  • Combined Schema Password. Schema password for seamless access across the two databases.
  • Archive Schema Name. Schema name for allowing access to archived data.
  • Archive Schema Password. Schema password for allowing access to archived data.
  • Combined / Archive Schema Location. Specify whether schemas were created at the data source or data target.
  • Database Link Name. Database link name from data source to data target.

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