Table of Contents

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  1. Preface
  2. Backing Up and Restoring the Data Vault
  3. Configuring Centera as a Remote Data Vault Store
  4. Configuring Data Archive for a Legacy Source Using Legacy Adapters
  5. Data Archive Seamless Access for PeopleSoft
  6. Data Archive Transaction Restore API
  7. Dropping and Truncating Partitions in Data Archive
  8. High Availability Configuration for the Data Archive and File Archive Service Versions 6.1 to 6.3
  9. 0955-High Availability Configuration for the Data Vault Version 6.4 and Later
  10. How to Create Business Rules to Archive and Purge Transactional Data
  11. How to Uninstall Data Archive 5.1
  12. How to Uninstall Data Archive 5.3
  13. How to Use Scripts to Change Database User Passwords in the ILM Repository
  14. IBM DB2 Database Connectivity and Setup for Data Archive
  15. Installing Data Visualization
  16. Integrating Third-Party Schedulers in ILM Engine
  17. Parallel Processing in Data Archive
  18. Seamless Access Configuration for Siebel Applications
  19. Seamless Access Setup for Oracle E-Business Suite
  20. Using the Data Vault Service JDBC Driver to Connect to the Data Vault
  21. Using Multiple Engines in an ILM Environment
  22. Using PowerExchange ODBC Connections in a Data Archive Retirement Project
  23. Discovering Foreign Key Relationships in Enterprise Data Manager

Data Archive How-To Guide

Data Archive How-To Guide

Step 1. Configure Profile and Discovery Parameters

Step 1. Configure Profile and Discovery Parameters

Configure the profiling and discovery parameters in Data Archive to connect to the Model Repository Service and the profiling warehouse.
  1. In Data Archive, select
    Administration
    System Profile
    .
    The
    Configuration Settings
    page appears.
  2. Select the
    Profiling and Discovery
    tab.
  3. Configure the following profiling and discovery parameters:
    Domain Name
    Name of the Informatica domain.
    Host
    Name of the machine that hosts the master gateway node.
    Port
    Port on which the Data Integration Service accepts requests.
    User Name
    Name of the user that has access to the Model Repository Service.
    Password
    Password for the user that has access to the Model Repository Service.
    Authentication Type
    Informatica domain authentication method.
    Model Repository Service
    Name of the Model Repository Service.
    Data Integration Service
    Name of the Data Integration Service.
    Node Name
    The Informatica domain node on which the Data Integration Service runs.
  4. Click
    Save
    .
    The following image shows the
    Profiling and Discovery
    parameters:
    The Profiling and Discovery parameters are Domain Name, Host, Port, User Name, Password, Authentication Type, Model Repository Service, Data Integration Service, and Node Name.