knobit.org

Explains the insertion, update and deletion anomalies

edu:Knobit

https://knobit.org/id/knobit/K-553

Also as Turtle · JSON-LD · RDF/XML · AI benchmark on Skilirium

Context functionsObject understanding
Knobit creation methodsAI generated
Knobit creation methodsAI generated, AI edited
Knobit typesKnowledge
LCG purposesAssessing the learner's knowledge or skill state
LCG purposesOpening up a learning outcome
action verbExplains en
assessment criterionDefines each anomaly and gives an example of each in a sample entity en
assessment methodWritten question with sample entities en
conforms to profilehttps://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1
dcterms:identifierK-553
dcterms:identifierQ-388
dcterms:licensehttps://creativecommons.org/licenses/by/4.0/
dcterms:sourceNormalisation theory and relational design (Codd, Fagin, Date), as used by the stage 5 reference and review checklist en
dcterms:sourceShared-URI copy of data-modelling K-553 (Normalisation theory and relational design (Codd, Fagin, Date), as used by the stage 5 reference and review checklist) en
expected resultThe three anomalies and the redundancy that produces them en
owl:sameAshttps://bitbucket.org/reffa/ontology/id/knobit/data-modelling/05-logical/K-553
rdfs:labelExplains the insertion, update and deletion anomalies en
schema:creativeWorkStatusaccepted
schema:isPartOfData modelling (DAMA-DMBOK2)
schema:isPartOfData quality management (DAMA-DMBOK2)
skos:definitionThe three anomalies and the redundancy that produces them. en
skos:prefLabelExplains the insertion, update and deletion anomalies en
target objectinsertion, update and deletion anomalies en

Used by

applies knowledgeRecognises an insertion anomaly in a logical data model
applies knowledgeRecognises an update anomaly in a logical data model
applies knowledgeRecognises a deletion anomaly in a logical data model
applies knowledgeTraces a logical-model anomaly to its structural cause
includes knobitDerives a normalised logical data model and traces anomalies to their causes
includes knobitDerives data quality rules from the data rules and the physical model
includes knobitNormalisation
requires knobitDerive the logical data model
requires knobitDerive data quality rules