Reasons to Analyze for Dependencies - trillium_discovery - trillium_quality - Latest

Trillium Control Center

Product type
Software
Portfolio
Verify
Product family
Trillium
Product
Trillium > Trillium Discovery
Version
Latest
Language
English
Product name
Trillium Quality and Discovery
Title
Trillium Control Center
Copyright
2024
First publish date
2008
Last updated
2024-10-18
Published on
2024-10-18T15:02:04.502478

Data dependencies are a critical component of your data structure, which is why it is worth investigating both the quality and types of dependencies your data contains. Trillium analyzes an initial sample of data (10,000 rows) when you import data into a repository. If your data contains more than 10,000 rows, you may want to consider re-running the analysis using a larger data set.

As you work with dependencies you'll discover how attributes within the same entity relate to each other. Understanding how dependencies structure your data can be useful to you in several ways.

Dependencies help you to discover the relationships in your data by: