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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

Running the Data Archive Seamless Access Job

Running the Data Archive Seamless Access Job

The Data Archive Seamless Data Access job creates the two schemas and populates them with the appropriate synonyms and views.
  1. Click
    Jobs
    Schedule a Job
    .
  2. Select
    Standalone Programs
    and click
    Add Item
    .
  3. Select
    SEAMLESS_DATA_ACCESS
    from the list.
    A list of job parameters appear. The following table describes each job parameter:
    Parameter
    Description
    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.
  4. Select options from the list of values or enter the value for the appropriate parameters.
  5. Schedule the Create Seamless Data Access job.

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