Release date: 12th August 2013
In addition to the Individual Type Mapping capability that arranges all nodes in a tree structure, DataHub introduces a new Group Type Mapping option that groups all nodes according to their types in a tree structure. The Group Type Mapping allows you to select the types of nodes from the Source tree and map them to the matching types in the Target tree. This mapping feature helps you complete your mapping process faster because you can easily find the types of nodes that you need to map out without looking through the nodes individually.
This release also features a capability to define a target type to map from a specific attribute's value of a node. The Define Target Type from Attribute Value mapping feature improves mapping and synchronizing process even better because it allows selection of the attribute's values of a node and use of the values to identify which types of node can be mapped. This allows you to map it to matching target types. It also gives you greater possibilities to map one source type dynamically to more than one type identified in the Target tree. The Define Target Type from Attribute Value mapping option is exclusively for Group Type Mapping.
The functionality of Scope Sync has been enhanced with the ability to detect changes in the hierarchic structure and changes made to the node elements within the hierarchy. The Scope Sync mode can now synchronize both attribute's values of nodes and the node hierarchy in a tree structure from the Source to the Target or vice versa. If you move a node from the root node and place it outside the root node, this node is an out-of-scope node. If you move a node from one level to another within the root node, it is not considered out-of-scope. DataHub does not synchronize any out-of-scope nodes. The Scope Sync capability maintains consistency of node elements and the hierarchy across different data sources or applications. The scope synchronization always preserves the elements or hierarchy from which you perform synchronization.
The synchronization capability of DataHub has been extended to include changes in a schema mapping. With the improved data synchronization, you can now update nodes from the Source to the Target data or vice versa through a schema map. When you apply changes to your schema map and perform data synchronization, the related items on the Source or Target data will change according to the schema map.