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Lineage in Matia shows how data moves through your environment: from sources into your warehouse, through dbt transformations, and out to the BI layer or other destinations. You get both table-level and column-level lineage so you can trace any table or column from origin to consumption.

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What lineage includes

Matia builds lineage from several connected pieces:
  • Warehouse metadata — After your warehouse is connected, Matia extracts the relevant metadata and uses it as the backbone of the graph.
  • Matia integrations — ETL and reverse ETL integrations (e.g. Postgres, Salesforce) appear as nodes in lineage. You can see data flowing into the warehouse from ETL sources and out to destinations via reverse ETL. Both are treated as Matia integrations in the graph.
  • dbt — With dbt Core or dbt Cloud connected, Matia parses the SQL and builds lineage between tables in your warehouse. You see how dbt models depend on each other and on warehouse tables.
  • BI layer — Lineage extends to the BI layer—for example Tableau—with column-level lineage where supported. That lets you see which warehouse or dbt columns feed which reports or dashboards.
Together this gives you a single view of data flow across pipelines, transformations, and analytics.

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Where to view lineage

Lineage is available from any table’s catalog page. Open the table by browsing the catalog or by using Command+K (global search) to jump straight to it. On the table page, the “Lineage” tab opens a canvas with that table as the home node—the center of the graph you’re exploring.

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The lineage canvas

The canvas is a graph of connected nodes: warehouse tables, dbt models, Matia integrations, and BI assets. The table you opened is the home node. Arrows show how data flows; hovering over an arrow reveals connections in that direction. A double-arrow control lets you expand the graph multiple levels in either direction so you can drill into dependencies without leaving the view. Column-level lineage — Each table node can be expanded to show its columns. When you hover over a column, the graph highlights how that column flows through Matia integrations and dbt transformations to the BI layer. You can trace a single column from source to consumption without following tables manually. Matia Tag
Clicking a node opens a sidebar with details about that asset. Tables — The i icon on a table node opens the sidebar with that table’s metadata and observability monitors (e.g. freshness, row count, schema changes). You stay in the lineage view while you inspect the table. Matia integrations — Clicking an integration node shows that integration’s metadata: recent syncs, trigger types, number of streams ingested, tags and owners. You can open the integration’s page from the sidebar or keep exploring lineage. dbt models — Clicking a dbt node shows metadata for that model: the SQL, relationships to other dbt models, and dbt tags ingested by Matia. Matia Tag

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Action bar

The action bar at the top left of the canvas gives you quick controls: return to the home node, collapse all column dropdowns, search for a specific node in the visible graph, or download a screenshot of the current lineage view. Matia Tag