Coverage Map
The Coverage Map at /data-quality/coverage shows which tables and columns have DQ rules and which don't. It's the gap analysis: "of the 1,200 tables in prod, how many have at least one rule? Which critical tables are uncovered?".
Heatmap view
The default view is a heatmap with:
- Rows — schemas (or tables, depending on zoom)
- Columns — DQ dimensions (Completeness, Accuracy, Timeliness, Consistency)
- Cell colour — coverage % (red = 0%, green = 100%)
Click any cell to drill into the gap (which tables are missing rules for that dimension).
Counts
Top of the page shows:
- Total tables in scope — derived from filters
- With ≥ 1 rule — count + %
- Critical tables uncovered — tables marked critical with no rules
- Total rules — across all engines
Filters
- Catalog / schema scope
- Domain (from Business Glossary)
- Certification status — filter to certified-only for governance audit
- Owner team
Recommendations
For uncovered tables, the page suggests rule templates based on column profiles (Column Profiling — null-rate thresholds, range checks, regex patterns):
- Suggested DQX rules — auto-generatable from existing profile
- Suggested suite — Great Expectations suite scaffolds
- Reconciliation candidate — if the table is a clone target
Click Generate to scaffold; rules land in the Rules Engine for review before activation.
Targets
Set coverage targets per domain or team. Below-target groups appear in the Gaps strip at the top with a click-through to the uncovered tables.
API
GET /data-quality/coverage?scope=catalog&catalog=prod_warehouse
GET /data-quality/coverage/gaps?domain=sales
POST /data-quality/coverage/generate-rules
Related
- Trust Scores — measure quality where coverage exists
- Rules Engine — where generated rules go
- Column Profiling — source for rule suggestions