Explains vertical and horizontal partitioning of tables
https://knobit.org/id/knobit/K-660
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| Context functions | Object understanding |
|---|---|
| Knobit creation methods | AI generated |
| 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 | Decides for sample splits whether they stay lossless and constrained en |
| assessment method | Written question with sample physical tables en |
| conforms to profile | https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1 |
| dcterms:identifier | K-660 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | Data-management practice used by the stage 6 reference and review checklist en |
| depends on knobit | Explains lossless-join decomposition |
| expected result | Splitting a table by columns or rows, and what keeps the parts one entity en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-modelling/06-physical/K-660 |
| rdfs:label | Explains vertical and horizontal partitioning of tables en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data modelling (DAMA-DMBOK2) |
| skos:definition | Splitting a table by columns or rows, and what keeps the parts one entity. en |
| skos:prefLabel | Explains vertical and horizontal partitioning of tables en |
| target object | table partitioning en |
Used by
| applies knowledge | Recognises a lossy or unconstrained vertical split |
|---|---|
| applies knowledge | Recognises an entity split into clone tables by value |
| includes knobit | Designs a physical data model for the target platform without introducing anomalies |
| includes knobit | Partitioning |
| includes knobit | Forward engineering - physical data modelling |
| requires knobit | Design the physical data model |