Loan application data quality rules on Snowflake (DQ rule anomaly skills)
https://knobit.org/id/task/dq-rules
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| assesses learning outcome | Documents data rules in SBVR and resolves rule anomalies |
|---|---|
| assesses learning outcome | Derives data quality rules from the data rules and the physical model |
| dcterms:license | https://creativecommons.org/licenses/by/4.0/ |
| has question | C1 (4 points) |
| has question | C2 (3 points) |
| has question | C3 (2 points) |
| has question | I1 (2 points) |
| has question | I2 (2 points) |
| has question | I3 (2 points) |
| has question | I4 (2 points) |
| has question | Q1 (2 points) |
| has question | Q2 (1 points) |
| owl:sameAs | https://bitbucket.org/reffa/ontology/id/task/dq-rules |
| rdfs:comment | If C1 scores zero, the total is capped at 12. en |
| rdfs:label | Loan application data quality rules on Snowflake (DQ rule anomaly skills) en |
| related topic | Data quality (DAMA-DMBOK2 chapter 13) |
| schema:description | Graded on 9 criteria, 20 points in total. en |
| schema:identifier | dq-rules |
| schema:url | https://bitbucket.org/reffa/skill-tests/src/master/tests/dq-rules/test.md |
Used by
| has task | Tests of the data-quality skill |
|---|