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. Appendix A: Datetime and Numeric Formatting
  24. Appendix B: Data Archive Connectivity

Administrator Guide

Administrator Guide

Live Archiving

Live Archiving

Create a data staging tablespace in the source database for all live archive jobs. For example, AM_STAGING_D.
All live archive jobs require staging space. The archive job uses the staging space to store the following tables:
Interim tables
The archive job creates interim tables for business rule validation and candidate generation during the archive process.
The staging space requirements depend on the size of the interim tables. Configure the tablespace size to the number of archived rows from the largest table in a single archive job multiplied by the average row size. A general guideline is to use 1K for the average row size.
Staging tables
If you enable staging for the archive source connection, the archive job creates staging tables. The staging tables temporarily store a copy of the archived data before the archive job moves the data to the archive or history database.
The staging space requirements depend on the size of the data in the archive job. Configure the tablespace size to the largest amount of archived data in a single archive job.
Staging space is not required for retirement jobs. Retirement jobs do not validate business rules, generate candidates, or create staging tables because the jobs archive all source data.

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