Recognises a business fact held in physical row order
https://knobit.org/id/knobit/K-620
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| Context functions | Result evaluation |
|---|---|
| Knobit creation methods | AI generated, human edited |
| Knobit types | Skill |
| LCG purposes | Assessing the learner's knowledge or skill state |
| LCG purposes | Selecting an assessment task or learning activity |
| action verb | Recognises en |
| applies knowledge | Explains the absence of row order in relational tables |
| assessment criterion | Flags the deficient case and passes the acceptable one. Deficient: "The current address is the one with the highest `address_id`"; "payments in order of booking" read from identity order Acceptable: `booked_at`, `valid_from` or a version number as columns, and the current row identified by its data en |
| assessment method | skill-tests task: Loan application physical model on Snowflake (physical design anomaly skills) en |
| conforms to profile | https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1 |
| dcterms:identifier | K-620 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | Review checklist 04-physical, row 20; Codd 1970 §1.2 en |
| expected result | The fact and the column to hold it en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-modelling/06-physical/20 |
| rdfs:label | Recognises a business fact held in physical row order en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data modelling (DAMA-DMBOK2) |
| skos:altLabel | Meaning held in physical order (physical model) en |
| skos:definition | A business fact read from row order, insertion order or the order of generated key values rather than from a column. It changes with parallel loads, sequence caching, reorganisation or migration. en |
| skos:prefLabel | Recognises a business fact held in physical row order en |
| target object | fact read from row or key order en |
Used by
| includes knobit | Designs a physical data model for the target platform without introducing anomalies |
|---|---|
| requires knobit | Design the physical data model |