What’s included in the lineage graph
Elementary connects assets across your full stack:- Ingestion sources — tables from your data warehouse, including those loaded by tools like Fivetran, and non-dbt assets synced directly from your warehouse
- dbt models and sources — resolved from your dbt project metadata
- Python SDK assets — tables and datasets produced by Python pipelines instrumented with the Elementary Python SDK
- BI and downstream tools — dashboards and exposures from Looker, Tableau, and other connected BI tools
- Semantic views — Snowflake Semantic Views connected to their underlying physical tables
What you can do with it
- Trace root causes — follow failures upstream to find where an issue originated
- Assess impact — see which downstream assets and dashboards are affected by a failure or change
- Prioritize triage — surface issues affecting critical or high-traffic assets first
- Detect unused datasets — identify assets with no downstream consumers to reduce cost
- Plan changes safely — understand what breaks before you make a change
Node info and test results
Select any node in the graph to see:- Test results — latest test results for that asset
- Node info — description, owner, tags, and job info if collected