JavaScript is required to for searching.
Skip Navigation Links
Exit Print View
Oracle Directory Server Enterprise Edition Deployment Planning Guide 11g Release 1 (11.1.1.5.0)
search filter icon
search icon

Document Information

Preface

Part I Overview of Deployment Planning for Directory Server Enterprise Edition

1.  Introduction to Deployment Planning for Directory Server Enterprise Edition

2.  Business Analysis for Directory Server Enterprise Edition

Part II Technical Requirements

3.  Usage Analysis for Directory Server Enterprise Edition

4.  Defining Data Characteristics

Determining Data Sources and Ownership

Identifying Data Sources

Determining Data Ownership

Distinguishing Between User and Configuration Data

Identifying Data From Disparate Data Sources

Designing the DIT

Choosing a Suffix

Creating the DIT Structure and Naming Entries

Branch Points and Naming Considerations

Replication Considerations

Access Control Considerations

Designing a Directory Schema

Schema Design Process

Maintaining Data Consistency

Other Directory Data Resources

5.  Defining Service Level Agreements

6.  Tuning System Characteristics and Hardware Sizing

7.  Identifying Security Requirements

8.  Identifying Administration and Monitoring Requirements

Part III Logical Design

9.  Designing a Basic Deployment

10.  Designing a Scaled Deployment

11.  Designing a Global Deployment

12.  Designing a Highly Available Deployment

Part IV Advanced Deployment Topics

13.  Using LDAP-Based Naming With Solaris

14.  Deploying a Virtual Directory

15.  Designing a Deployment With Synchronized Data

Index

Identifying Data From Disparate Data Sources

When determining data sources, ensure that you include data from other data sources, including legacy data sources. This data might not be stored in the directory. However, Directory Server might need to have some knowledge of, or control over, the data.

Directory Proxy Server provides a virtual directory feature that aggregates information, in real-time, from multiple data repositories. These repositories include LDAP directories, data that complies with the JDBC specification, and LDIF flat files.

The virtual directory supports complex filters that handle attributes from different data sources. It also supports modifications that combine attributes from different data sources.

During the data analysis phase, you might find that the same data is required by several applications, but in a different format. Instead of duplicating this information, it is preferable to have the applications transform it for their requirements.