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Course guide

Data Lineage with dbt: Source to Metric to Dashboard

Understand data lineage with dbt artifacts, table lineage, column lineage, metric lineage, and blast-radius analysis for analytics changes.

Lineage shows how data flows from sources to models, metrics, dashboards, and AI answers. In this course, you learn lineage through dbt DAGs, artifacts such as manifest and run results, and practical blast-radius exercises.

Learning path

Continue from concept to implementation

These course modules place this topic in context, connect it to adjacent decisions, and provide the practical next step.

Module 12

MetricFlow and the dbt Semantic Layer

See how dbt semantic models produce governed SQL at query time.

115 minutes | 3 learning objectives

Module 13

Lineage with dbt Artifacts

Trace impact from source columns to models, metrics, dashboards, and AI answers.

120 minutes | 3 learning objectives

Module 14

Data Incidents and Debugging

Debug wrong revenue, stale data, broken joins, and schema drift like an engineer.

110 minutes | 3 learning objectives

Practical outcomes

What the recommended module teaches

  • Explain table, column, metric, and operational lineage
  • Know what dbt manifest, run_results, and catalog artifacts contain
  • Use lineage to reason about blast radius