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Understand what engineering metrics measure, how teams collect them, and what the numbers can tell you about the work behind a release.
Terms beginning with D
24 termsDashboard
Dashboard curates measures, context, and navigation for a decision.
Engineering analyticsDashboard hygiene
Dashboard hygiene keeps metric views accurate, current, and understandable.
Engineering analyticsData accuracy
Data accuracy asks whether records reflect the real event or value.
Engineering analyticsData availability
Data availability measures whether an expected data asset can be accessed and used.
Engineering analyticsData catalog
Data catalog inventories assets with owners, schemas, lineage, freshness, and access.
Engineering analyticsData collector
Data collector receives, processes, and forwards observations.
Engineering analyticsData consistency
Data consistency keeps related fields and records compatible across sources.
Engineering analyticsData contract
Data contract agrees schema, meaning, quality, ownership, and change handling.
Engineering analyticsData contract testing
Data contract testing how to test a data contract before it breaks analytics.
Engineering analyticsData dictionary
Data dictionary documents field meanings, types, units, and allowed values.
Engineering analyticsData lineage
Data lineage traces a result through sources, joins, transformations, and presentation.
Engineering analyticsData observability
Data observability monitors freshness, volume, schema, distribution, and quality behavior.
Engineering analyticsData timeliness
Data timeliness measures whether data arrives in time for its decision.
Engineering analyticsData validity
Data validity checks permitted structure, type, range, format, and rules.
Engineering analyticsData warehouse
Data warehouse combines operational records for historical analysis.
Engineering analyticsDeduplication
Deduplication handles multiple records that represent one event or entity.
Engineering analyticsDefinition drift
Definition drift is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsDelayed data
Delayed data is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsDenominator
Denominator defines the reference population for a rate or ratio.
Engineering analyticsDenominator stability
Denominator stability is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsDiagnostic metric
Diagnostic metric helps explain why a headline outcome changed.
Engineering analyticsDrift detection
Drift detection watches for changes in a signal's distribution or meaning.
Engineering analyticsDuplicate events
Duplicate events is an analytical risk or quality concern that can make an engineering analysis appear more certain, comparable, or causal than it is.
Engineering analyticsDuplicate rate
Duplicate rate measures records repeated under identity and timing rules.
Engineering analytics