When you import data, Trillium automatically looks for dependencies. Dependencies represent many-to-one relationships between attributes (fields in columns) within a single entity (database table or file). If Trillium does not find the potential dependencies you expect, you can change parameters and re-run the analysis to test different results or create required dependencies.
The dependency analysis identifies potential dependencies on a sample of 10,000 data rows. To find a larger number of potential dependencies, you can run a dependency analysis using criteria that allow you to find dependencies that have:
- Less than 98% consistency
- More than two combined attributes (fields/columns)
- Attributes less than 2% distinct
Dependency Analysis Workflow
This flowchart shows the process for analyzing dependencies when you enable automatic dependency analysis, performed when Trillium reads the data during data import.
To customize your dependency analysis or find other potential dependencies, re-run the dependency analysis.