Explains testing DDL by execution and detecting drift
https://knobit.org/id/knobit/K-859
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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 | Designs the execution test and drift check for sample deployments en |
| assessment method | Written question with sample generated DDL en |
| conforms to profile | https://oppekava.edu.ee/a/Knobitite_kirjeldamise_ja_seostamise_reeglid#LCG-KNOBIT-0.1 |
| dcterms:identifier | K-859 |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| dcterms:source | Data-management practice used by the stage 8 reference and review checklist en |
| depends on knobit | Explains forward and reverse engineering of data models |
| expected result | DDL is proven by running it, and the deployed catalogue compared with the model en |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/knobit/data-modelling/08-ddl/K-859 |
| rdfs:label | Explains testing DDL by execution and detecting drift en |
| schema:creativeWorkStatus | accepted |
| schema:isPartOf | Data modelling (DAMA-DMBOK2) |
| skos:definition | DDL is proven by running it, and the deployed catalogue compared with the model. en |
| skos:prefLabel | Explains testing DDL by execution and detecting drift en |
| target object | DDL testing and drift detection en |
Used by
| applies knowledge | Recognises SQL reviewed without being run |
|---|---|
| applies knowledge | Recognises undetected drift between database and model |
| includes knobit | Generates DDL per target dialect and reviews it against model, engine, data and deployment |
| requires knobit | Generate and review DDL |