Explains derived data and point-in-time snapshots
https://knobit.org/id/knobit/K-565
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| Context functions | Object understanding |
|---|---|
| Knobit creation methods | AI generated |
| Knobit creation methods | AI generated, AI edited |
| Knobit types | Knowledge |
| LCG purposes | Assessing the learner's knowledge or skill state |
| LCG purposes | Opening up a learning outcome |
| action verb | Explains en |
| assessment criterion | Classifies sample attributes as derivable, snapshot or base data and says what each derivation reads en |
| assessment method | Written question with sample entities en |
| conforms to profile | https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1 |
| dcterms:identifier | K-565 |
| dcterms:identifier | Q-381 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | Normalisation theory and relational design (Codd, Fagin, Date), as used by the stage 5 reference and review checklist en |
| dcterms:source | Shared-URI copy of data-modelling K-565 (Normalisation theory and relational design (Codd, Fagin, Date), as used by the stage 5 reference and review checklist) en |
| expected result | A derivable value can be computed and need not be stored; a snapshot keeps a value as it stood and is not derived en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-modelling/05-logical/K-565 |
| rdfs:label | Explains derived data and point-in-time snapshots en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data modelling (DAMA-DMBOK2) |
| schema:isPartOf | Data quality management (DAMA-DMBOK2) |
| skos:definition | A derivable value can be computed and need not be stored; a snapshot keeps a value as it stood and is not derived. en |
| skos:prefLabel | Explains derived data and point-in-time snapshots en |
| target object | derived data and point-in-time snapshot en |
Used by
| applies knowledge | Recognises a stored derivable attribute |
|---|---|
| applies knowledge | Recognises a redundant relationship |
| applies knowledge | Recognises an unmanaged duplicate column |
| applies knowledge | Recognises a stored derived or summary value |
| applies knowledge | Recognises a hierarchy encoded redundantly |
| applies knowledge | Recognises a derived or copied column without a check |
| includes knobit | Derives a normalised logical data model and traces anomalies to their causes |
| includes knobit | Derives data quality rules from the data rules and the physical model |
| includes knobit | Denormalisation |
| requires knobit | Derive the logical data model |
| requires knobit | Derive data quality rules |