Identifier (CDQ.POOL)
Business partner/identifier
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Name Name of a concept, e.g. a data model concept. In contrast to terms, the name does not depend on a given context, e.g. a country-specific language. | Identifier |
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Description Informal and comprehensive human-readable definition of a concept. | Identifies a business partner in a given context uniquely. For example, a VAT identification number may identify a business partner uniquely in a national (or larger) context. |
Example A simple example supporting the understanding of a concept, business rule, etc. | In Germany, every natural or juridical person that is subject to taxation has a unique Steuernummer. Additionally, each business has a Umsatzsteuer-Identifikationsnummer which is assigned for value added tax regulation purposes. |
Part of Hierarchical relation between two concepts of the CDQ Data Model. | Data source CDQ.POOL |
Technical key Defines a unique key by which e.g. data model concepts can be referenced in a technical integration context. These keys are unique in the CDL context. | IDENTIFIER
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Parent concept Hierarchical relation between two concepts of a data model, e.g., the CDQ Data Model. | Business Partner (CDQ.POOL) |
Cardinality Cardinality of data model concepts.<br/><code>ZERO_OR_ONE</code>: Optional, but max. 1 instance related to its parent.<br/><code>EXACTLY_ONE</code>: Exactly 1 instance related to its parent.<br/><code>ZERO_OR_MORE</code>: Optional, multiple instances related to its parent may exist.<br/><code>ONE_OR_MORE</code>: Mandatory, multiple instances related to its parent may exist. | ZERO_OR_MORE
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Data type Data type of a data model concept, i.e., <code>ARRAY</code>, <code>BOOLEAN</code>, <code>DATE</code>, <code>ENUM</code>, <code>INTEGER</code>, <code>OBJECT</code>, or <code>STRING</code>. | n/a |
Path JSON Path to identify attributes in a data item. | identifier
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Concept role The role of a Category:Data model concept in the tree structure of a data model.<br/><code>ROOT</code>: Root concept in a data model, i.e., no parent concepts.<br/><code>NODE</code>: Structure concepts in a data model, i.e., parent and child concepts.<br/><code>LEAF</code>: Leaf concept in a data model, i.e., no child concepts, provides the effective data values.<br/> | NODE
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Mapping |
Sub concepts