Hierarchy

Data Integrity Suite

Product
Spatial_Analytics
Data_Integration
Data_Enrichment
Data_Governance
Precisely_Data_Integrity_Suite
geo_addressing_1
Data_Observability
Data_Quality
dis_core_foundation
Services
Spatial Analytics
Data Integration
Data Enrichment
Data Governance
Geo Addressing
Data Observability
Data Quality
Core Foundation
ft:title
Data Integrity Suite
ft:locale
en-US
PublicationType
pt_product_guide
copyrightfirst
2000
copyrightlast
2025

Hierarchy type predicates allow users to create and manage parent-child and super-type/sub-type relationships within models, policies, and reference lists.

Note: The Parent Of/Child Of functional type of Hierarchy predicate type is part of the seed data, which refers to the initial set of data automatically included in the system. This means it will be available in all Data Integrity Suite workspaces, allowing you to easily establish hierarchical relationships.
This functionality provides a tree-structure list grid for easy management.
  • Subject must be either Business or Technical.
  • Object must be either Business or Technical.
  • When a relation type uses a:
    • Business asset type, then the subject and object must both be different Business asset types.
    • Technical asset type, then the subject and object must both be different Technical asset types.
    • The Subject Cardinality must be One and the Object Cardinality must be Many.
Warning: In a Hierarchy Predicate, the Subject functions as the parent, while the Object acts as the child. Circular references are not permitted, as they would reverse the parent-child roles between asset types. For example, if you establish a Hierarchy Relationship where an asset type named "Table" is the Subject/Parent and an asset type called "Column" is the Object/Child, creating a second Hierarchy Relationship that designates "Column" as the Subject/Parent and "Table" as the Object/Child is prohibited.