DataFlux Data Management Studio 2.6: User Guide
You can use the Data Exploration dialog to display and process a data exploration. Data explorations enable you and your organization to identify data redundancies and extract and organize metadata from multiple sources. Relationships between metadata can be identified and cataloged into types of data by specified business data types and processes.
For example, your customer metadata might be grouped into one catalog and your address metadata might be grouped in another catalog. Once you have organized your metadata into manageable chunks, you can identify relationships between the metadata by table-level profiling. Creating a data exploration enables you to analyze tables within databases to locate potential matches. Once you have identified possible matches, you can plan the best way to handle your data and create a Profile job for any database, table, or field.
The data exploration dialog contains the following tabs:
The dialog also contains a toolbar that is displayed for all the tabs. This toolbar enables you to access the following functions that affect data explorations:
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Doc ID: dfU_DataExp.html |