@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix edu: <https://knobit.org/def/> .
@prefix knobit: <https://knobit.org/id/knobit/> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix register: <https://knobit.org/id/register/> .
@prefix schema: <https://schema.org/> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .

knobit:K-1131 a edu:Knobit ;
    rdfs:label "Reverse-engineers a logical model from a database schema"@en ;
    dcterms:identifier "K-1131" ;
    dcterms:license <https://creativecommons.org/licenses/by/4.0/> ;
    dcterms:source "DAMA-DMBOK2 chapter 5, element(s) DM-28: a performance at CDMP Practitioner level"@en ;
    skos:definition "An as-is logical model with declared and inferred structures separated, dead objects and unknowns listed"@en ;
    skos:prefLabel "Reverse-engineers a logical model from a database schema"@en ;
    edu:actionVerb "Reverse-engineers"@en ;
    edu:appliesKnowledge knobit:K-914 ;
    edu:assessmentCriterion "From a core-banking account schema recovers entities, keys and relationships, marks each inferred one with its evidence and confidence, leaves dead tables out and asks the data owner about unexplained columns"@en ;
    edu:assessmentMethod "Not yet assessed: a skill-tests task for it is to be designed (SKLZ-121)"@en ;
    edu:contextFunction <https://knobit.org/def/contextFunction/actionExecution> ;
    edu:creationMethod <https://knobit.org/def/creationMethod/aiGenerated> ;
    edu:expectedResult "An as-is logical model with declared and inferred structures separated, dead objects and unknowns listed"@en ;
    edu:graphRelevance <https://knobit.org/def/graphRelevance/learnerState>,
        <https://knobit.org/def/graphRelevance/taskSelection> ;
    edu:knobitType <https://knobit.org/def/knobitType/skill> ;
    edu:targetObject "deployed database schema"@en ;
    schema:creativeWorkStatus "accepted" ;
    schema:isPartOf register:data-modelling .

edu:Knobit rdfs:label "Knobit"@en,
        "Knobit"@et .

knobit:K-914 rdfs:label "Explains forward and reverse engineering of data models"@en .