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Oracle Data Relationship Management, Fusion Edition V. Release Highlights

Dynamic scripting: enables Data Relationship Management administrators to develop business logic for derived properties and validations using JavaScript. Dynamic scripts provide a more robust and better-performing alternative to formulas, using a standard scripting language. Scripts allow for better organization and less complexity of logic through the use of multiple statements, variables, and in-line comments. Dynamic scripts also provide support for advanced concepts such as looping and regular expressions. 
Import from Database Tables: External connections to relational databases can be used to import data from database tables into Data Relationship Management. An import profile can source data from tables in a single database. Each section of an import profile can be mapped to a single database table. A query filter can be configured to import a subset of data from the source database tables.
Object Access Groups: Object access groups enable metadata objects to be organized, accessed, and managed collectively by a custom group of users. The previously available object access levels (User, Standard, and System) are now available as core object access groups. Custom object access groups can be created and provisioned by access managers. Users can be assigned Run or Manage permission to each custom object access group.
Hierarchy Constraints for Node Properties: Hierarchy constraints can limit the hierarchies and nodes available for viewing and selection when updating a node data type property value. A hierarchy constraint is an optional configuration for property definitions that use a node data type. The hierarchy constraint feature uses hierarchy groups and hierarchy group properties, which must be configured before you can assign hierarchy constraints.
Job Management: Job management enables greater control and visibility over long running operations (jobs) and the results they produce. Running an operation as a job enables users to perform a different task while the process is running and have access to the status and any results of the operation when they return.
Localized Documentation: To support globalization requirements for international organizations, the Data Relationship Management users guide, implementation guide and installation guide for this release have been translated into Simplified Chinese, Japanese, Korean, French and German.



Oracle Data Relationship Governance, Fusion Edition V. Release Highlights

New Product in Fully configurable governance workflow oriented business application targeted at front-line business users. Shares metadata with Oracle Data Relationship Management and extends it through the configuration of workflow models, stages, and tasks.  Configurable and extensible by DRM administrators. Native workflow engine, only requires DRM as pre-requisite.
Workflow Models: Used to control user tasks, stages of workflow, and types of data involved to govern a set of changes to data in Oracle Data Relationship Management.
Workflow Requests: Used to initiate changes or corrections to be completed, approved, enriched, and committed by other users using governance workflows.
Governance Work List: A central location for interacting with change and remediation requests. From the work list, governance users may submit change requests or review and participate in requests assigned to their user group.
Alerts and notifications: Provides Data Relationship Management alerts and email notifications to governance users and data managers for requests to which they are associated. The configuration of stages for the workflow model for a request controls whether users are notified of activities taking place in a particular stage and which users get notified.
Policy Management: High level enterprise data policies articulated by data governance committees may be broken down into business rules, data validations, and data access privilege assignments. Metadata artifacts familiar to Oracle Data Relationship Management administrators may be reused or extended to enforce governance against these data policies as business users request and respond to changes executed as governance workflows. 
Workflow Automation: Workflow automation is dynamic, data-driven and exception-based.  Requests are routed dynamically from one stage to the next based upon how both the data requested as well as how access to it is configured.   Requests are routed dynamically based upon request items, workflow data access groups, and user privilege assignments associated with a given workflow model.
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