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

Converting Datatypes for Unsupported Datatype Errors

Converting Datatypes for Unsupported Datatype Errors

Manually convert datatypes to resolve the unsupported datatype error in the Data Vault Loader log file.
  1. Access the log file.
  2. Search the log for the unsupported datatype error.
    Use the error description to find the table and corresponding datatype that you need to convert.
  3. Access the metadata xml file that the ILM engine generated.
    Use the error description to find the file location.
  4. Change the datatype to a supported Data Vault Service datatype.
    Use the error description to find the table and corresponding datatype that you need to convert.
  5. Resume the Data Vault Loader job.

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