DataFlux Data Management Studio 2.5: User Guide

Clusters Tab

You can use the Clusters tab to review cluster and surviving record information. You can also select surviving records and fields. The tab contains the following elements:

Filter - Displays the current filter used for the Clusters table.

Clusters table - Displays the clusters in the selected master data project, based on the current filters. The toolbar contains the following functions:

• First page
• Previous page
• Next page
• Last page
• Find (displays the Find toolbar, which includes access to the Find Options dialog for setting common find options)
• Filter (displays the Filter Clusters dialog)
• Sort (displays the Sort Fields dialog, which enables you to select and order sort fields)
• Select Fields (displays the Select Fields dialog)
• Record Details (displays the Record Details dialog, which displays the Clusters table columns in a scrollable list)
• Refresh

Surviving record - Displays the currently selected surviving record. Note that you can edit the values in the surviving records field and the changed values are displayed in the appropriate row in the Clusters table. (Changed rows in the Clusters table are marked by a pencil icon next to the row number.) You can also right-click a field to clear its value by setting it to NULL.

Clustered records table - Displays the available records for the currently selected cluster. The toolbar above the Cluster records table contains the following functions:

• Record Details (displays the Record Details dialog, which displays the Clustered records table columns in a scrollable list)
• Use for Surviving Record
• Use for Surviving Field
• Reset Surviving Record (resets changes made to an edited surviving record)

You can also right-click a record in the table to access the following additional functions:

• Remove Record
• Remove Record from Related Clusters
• Select All

When you remove a record, its connection to the record cluster is destroyed. No listing is kept of records that were formerly related to record clusters.

Related Topics

• Using DataFlux Master Data Management Foundations