Preface
Starting Data Archive
- Starting the ILM Application Server
- Configure Proxy Server Settings
- Logging In to Data Archive
System Configuration
- System Configuration Overview
- Conf.properties File
- System Profile
- Email Notification
  - Test Email Server Configuration Job
  - Setting Up Email Notification
- Environment Variables
Database Users and Privileges
- Database Users and Privileges Overview
- Database Users
- IBM DB2 Privileges
- SAP Application Retirement Privileges
  - ZINFA_RETIREMENT_PREPARATION Role
Source Connections
- Source Connections Overview
- Source Database Requirements
- Connection Properties
  - General Connection Properties
- IBM DB2 Source Connections
- Binding Packages on IBM DB2
- Generic JDBC Source Connections
  - Uploading JDBC Driver JAR Files
  - Generic JDBC Connection Properties
- Informix Source Connections
- Legacy Adapter Connection
- Microsoft SQL Server Source Connections
- Netezza Source Connections
- Oracle Source Connections
- PowerExchange ODBC Connections
- Salesforce Source Connections
- Sybase Source Connections
- Teradata Source Connections
- Creating a Source Connection
- Copying a Source Connection
- Database User Password Changes
  - Properties File
  - Changing Database User Passwords
Target Connections
- Target Connections Overview
- Target Database Requirements
- Connection Properties
  - General Connection Properties
- IBM DB2 Target Connections
- Informix Target Connections
- Microsoft SQL Server Target Connections
- Data Vault Target Connections
  - Archive Store Properties
- Oracle Target Connections
- Teradata Target Connections
- Netezza Target Connections
- Creating a Target Connection
- Copying a Target Connection
- Database User Password Changes
  - Properties File
  - Changing Database User Passwords
Archive Store Configuration
- Archive Store Configuration Overview
- EMC Centera and EMC Atmos Configuration
- Hitachi Content Platform Configuration
- Hadoop Distributed File System Configuration
Datatype Mapping
- Datatype Mapping from Source to Archive Overview
- Datatype Mapping Interface
- Data Vault Datatypes
- IBM DB2 Source Databases
- Custom Datatypes
- SAP Datatypes
- Unsupported Datatype Mappings
- Mapping a Custom Datatype to an Archive Datatype
- Out-of-Range Data Replacement
  - Configuration for Out-of-Range Data Replacement
  - Examples for Out-of-Range Data Replacement
Database Optimization
- Database Optimization Overview
- IBM DB2 Native Utilities
- Teradata Native Utilities
SAP Application Retirement
- SAP Application Retirement Overview
- SAP Application Retirement Architecture Options
- Setting Up SAP Application Retirement
- Step 1. Install the SAP Java Connector
- Step 2. Apply the SAP Transports
- Step 3. Assign Roles
- Step 4. Configure Conf.Properties
- Step 5: Set up the FTP or NFS Connection
  - Creating the FTP Connection
  - Creating the NFS Mount
z/OS Source Data Retirement
- z/OS Source Data Retirement Overview
- Implementation Example
- Prerequisites
- Step 2. Create PowerExchange Data Maps
- Step 3. Configure PowerExchange ODBC Data Sources on the Data Archive Server
  - Configure ODBC Data Sources on Linux or UNIX
  - Configure ODBC Data Sources on Windows
- Step 4. Import z/OS Metadata
- Step 5. Define and Run the Retirement Project
Seamless Data Access
- Seamless Data Access Overview
- Seamless Access for IBM DB2
  - Create Seamless Data Access Script Job
    - Create Seamless Data Access Script Job Parameters
  - Configuring Seamless Access for IBM DB2
- Seamless Access for Oracle
- Seamless Access for PeopleSoft
- Seamless Access for PeopleSoft on IBM DB2
Data Discovery Portal
- Data Discovery Portal Overview
- Search Data Vault
  - Setting up Search Data Vault
  - Maintaining Search Indexes
- Search Within an Entity in Data Vault
  - Step 1. Define Search Options
    - Editing Search Options
  - Step 2. Specify Number of Records in Results
    - Editing the Default Maximum Records in Results Value
- Masking Sensitive Information in Data Vault
  - Enabling Dynamic Data Masking
- Integration with E-Discovery Solutions
  - In-Place Preservation for Data Vault Through Exterro Fusion
    - Integrating Data Archive and Exterro Fusion
    - Troubleshooting Legal Holds Applied from the Exterro Fusion Interface
- Accessing Archive Data from an External Application
Security
- Security Overview
- Users
  - User Properties
  - Password Management
- User Management
- System-Defined Roles
  - System-Defined Roles and Privileges
  - User Reports for System-Defined Roles
- Data Vault Access Roles
- Security Groups
  - Security Group Properties
  - Creating Security Groups
SSL Communication with Data Vault
- SSL Communication with Data Vault Overview
- Creating a Certificate and TrustStore
- Updating Conf.Properties
- Modifying the StartApplimation File
- Creating a Generic JDBC Source Connection
- Importing Data Vault Table Metadata with SSL Enabled
- Updating JReport Designer
LDAP User Authentication
- LDAP User Authentication Overview
- User Synchronization
  - Nested Group Synchronization for Users
- Data Archive Roles and LDAP Security Groups
  - Technical Names for System-Defined Roles
- Role Assignments
- Role Assignment Synchronization
  - Nested Group Synchronization for Role Assignments
- Sync with LDAP Server Job
  - Sync with LDAP Server Job Parameters
- Troubleshooting the Sync with LDAP Server Job
- Setting Up LDAP User Authentication
- LDAP User Authentication Maintenance
- Single Sign-On
Auditing
- Auditing Overview
- Audit Levels
- Configuring Audit Logs
- Archiving Audit Logs
- Viewing Audit Logs
- Exporting Audit Logs
- Purging Audit Logs
Running Jobs from External Applications
- Running Jobs from an External Application Overview
- Job Handler JSP
- Job Handler JSP Job Parameters
- Run Update Retention JSP
- Run Definition JSP
- Legal Hold API
- Step 1. Configure Security
- Step 2. Form the Legal Hold URL
- Step 3. Add the URL to the External Application Code
- Step 4. Form the URL that Calls GetJobStatus.jsp
  - Forming the URL that Calls GetJobStatus.jsp
  - Example
- Step 5. Add the URL to the External Application Code
Salesforce Archiving Administrator Tasks
- Salesforce Archiving Administrator Tasks Overview
- Configure Salesforce Permissions
Upgrading Oracle History Data
- Upgrading Oracle History Data Overview
- Upgrading Oracle History Data Prerequisites
- Steps to Upgrade the History Data
- Step 1. Run the History Upgrade Scripts
  - History Upgrade Scripts Parameters
  - Running the History Upgrade Scripts
- Step 2. Run the Create History Table Job with the Original Source
  - Running the Create History Table Job
- Step 3. Update the Application Version for Source and Target Connections
  - Updating the Application Version for Source and Target Connections
- Step 4. Run the Create History Table Job with the Updated Source
  - Running the Create History Table Job
- Step 5. Run the Seamless Data Access Job for the Updated Source
  - Running the Seamless Data Access Job
- Step 6. Run the Create Indexes Job
  - Running the Create Indexes Job
- Step 7. Gather Database Statistics
Upgrading PeopleSoft History Data
- Upgrading PeopleSoft History Data Overview
- Upgrading PeopleSoft History Data Prerequisites
- Steps to Upgrade the History Data
- Step 1. Run the History Upgrade Scripts
  - Running the History Upgrade Scripts
    - Original Application Changes Script Example
    - Updated Application Changes Script Example
- Step 2. Run the Create History Table Job with the Original Source
  - Running the Create History Table Job
- Step 3. Update the Application Version for Source and Target Connections
  - Updating the Application Version for Source and Target Connections
- Step 4. Run the Create History Table Job with the Updated Source
  - Running the Create History Table Job
- Step 5. Run the Seamless Data Access Job for the Updated Source
  - Running the Seamless Data Access Job
- Step 6. Run the Create Indexes Job
  - Running the Create Indexes Job
- Step 7. Gather Database Statistics
Data Archive Maintenance
- Data Archive Maintenance Overview
  - Data Archive Component Integration
- Backing up Data Archive Components
- Maintaining the Data Vault Repository
Storage Classifications
- Storage Classifications Overview
- Storage Classification Configuration
- Creating Storage Classifications
- Storage Classification Management
Appendix A: Datetime and Numeric Formatting
- Datetime and Numeric Formatting Overview
- Datetime Format Strings
  - Datetime Format String Examples
- Numeric Format Strings
  - Numeric Format String Examples
Appendix B: Data Archive Connectivity
- Data Archive Connectivity Overview
- Native Connectivity
- DataDirect Connect JDBC Connectivity
- PowerExchange Connectivity
- Third-Party JDBC Connectivity

Administrator Guide

6.4.3 HotFix 1
- 6.5.1
- 6.5 HotFix 1
- 6.5
- 6.4.4
- 6.4.3

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Data Vault Datatypes

The following table lists the data types available in the Data Vault:

Archive Datatype	Description
BLOB	Use for a large collection of binary data.
CLOB	Use for a large collection of character data.
CHAR	Use for character data with a maximum length of 32768 characters. Use the Length Multiplier options to increase length.
DATE	Use for dates from January 1, 0001 A.D. through December 31, 9999 A.D. Valid range from 0001-01-01 to 9999-21-31
DECIMAL	Use for numbers with decimals. Precision 1 to 120 digits, scale 0-75 digits.
DOUBLE PRECISION	Use for numbers with decimals from -9.99999999999999 E+123 through 9.99999999999999 E+123.
FLOAT	Use for numbers with decimals. For Float(53), values from -9.99999999999999 E+123 through 9.99999999999999 E+123. For Float(21), valid range -9.99999 E+123 through 9.99999 E+123.
INTEGER	Use for whole numbers. Valid range -2,147,483,647 through 2,147,483,647.
REAL	Use for numbers with decimals. Valid range -9.99999 E+123 through 9.99999 E+123.
SMALLINT	Use for whole numbers. Valid range -32,767 through 32,767.
TIME	Use when time data has the following format: HH-MM-SS-NNNN. Valid range 00:00:00 to 23:59:59
TIMESTAMP	Use when timestamp data has date and time in the following format: yyyy-mm-dd-HH-MM-SS-NNNN. Valid range 0001-01-01-00.00.00.000000000001 to 9999-12-31-23.59.59.999999999999
VARCHAR	Use for values with number and characters and with a maximum length of 32,768 characters. Use the Length Multiplier options to increase length.

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Data Vault Datatypes

Data Vault Datatypes