SkillPublic
data-quality-conventions
Use when designing data-quality coverage for a new data product or auditing an existing one: choosing dbt tests vs Great Expectations vs Soda, column vs table-level checks, severity tiers, SLA and freshness conventions, and anti-patterns to avoid.
Quality
91%
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The canonical home for this skill is testland/data-quality-conventions
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tessl scenario generatetessl eval run- Repository
testland/qa
- Revision
aa16752
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