knobit.org

Recognises one entity split by value into several

edu:Knobit

https://knobit.org/id/knobit/K-528

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Context functionsResult evaluation
Knobit creation methodsAI generated, human edited
Knobit typesSkill
LCG purposesAssessing the learner's knowledge or skill state
LCG purposesSelecting an assessment task or learning activity
action verbRecognises en
applies knowledgeExplains an entity type as the realisation of one business concept
assessment criterionFlags the deficient case and passes the acceptable one. Deficient: Payment 2025, Payment 2026; Account Tallinn, Account Tartu Acceptable: One Payment entity, the year derived from Payment Value Date; if volume needs a split, it is physical partitioning en
assessment methodskill-tests task: Loan application logical model (normalisation anomaly skills) en
conforms to profilehttps://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1
dcterms:identifierK-528
dcterms:licensehttps://creativecommons.org/licenses/by/4.0/
dcterms:sourceReview checklist 03-logical, row 28; Karwin, Metadata Tribbles; Date & McGoveran 1994 en
expected resultThe entities and the value that should be an attribute en
owl:sameAshttps://bitbucket.org/reffa/ontology/id/knobit/data-modelling/05-logical/28
rdfs:labelRecognises one entity split by value into several en
schema:creativeWorkStatusaccepted
schema:isPartOfData modelling (DAMA-DMBOK2)
skos:altLabelOne entity split by value (logical model) en
skos:definitionEntities with the same structure and meaning, differing only by a value that should be data: a year, a region, a product line. Every new value needs a model change, and every question across values needs a union. A specific form of row 27; the attribute form (Balance Q1 … Balance Q4) is row 4. en
skos:prefLabelRecognises one entity split by value into several en
target objectentities split by a value that should be data en

Used by

depends on knobitRecognises an entity split into clone tables by value
includes knobitDerives a normalised logical data model and traces anomalies to their causes
requires knobitDerive the logical data model