Table of Contents

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  1. Preface
  2. Starting Data Archive
  3. System Configuration
  4. Database Users and Privileges
  5. Source Connections
  6. Target Connections
  7. Archive Store Configuration
  8. Datatype Mapping
  9. Database Optimization
  10. SAP Application Retirement
  11. z/OS Source Data Retirement
  12. Seamless Data Access
  13. Data Discovery Portal
  14. Security
  15. SSL Communication with Data Vault
  16. LDAP User Authentication
  17. Auditing
  18. Running Jobs from External Applications
  19. Salesforce Archiving Administrator Tasks
  20. Upgrading Oracle History Data
  21. Upgrading PeopleSoft History Data
  22. Data Archive Maintenance
  23. Storage Classifications
  24. Appendix A: Datetime and Numeric Formatting
  25. Appendix B: Data Archive Connectivity

Administrator Guide

Administrator Guide

Datatype Mapping from Source to Archive Overview

Datatype Mapping from Source to Archive Overview

Before you can archive data in the Data Vault, each source datatype must be mapped to a Data Vault datatype. The Data Vault Loader job maps most native datatypes to an archive datatype. You must manually map custom datatypes to the appropriate archive datatype.
For example, you create a custom datatype named address for alphanumeric values with a length of 100 digits and characters. You must map the address datatype to the varchar datatype in the Data Vault. You can choose to keep the length of this field the same or increase it by a multiple of 100.

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