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

Data Vault Datatype Conversion Overview

Data Vault Datatype Conversion Overview

When you archive to a file, the Data Archive project includes the Data Vault Loader job. One of the tasks that the Data Vault Loader job performs is the datatype conversion between the source database and Data Vault. The Data Vault Loader job can convert datatypes from Oracle, Microsoft SQL Server, IBM DB2 UDB, and Teradata databases.
If you have custom datatypes on your source database, you must manually map each custom datatype to a Data Vault datatype before you run the Data Vault Loader job. For information on how to map custom datatypes, see the
Data Archive Administrator Guide
.

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