Features of Lineage:

What you can do with a Dataset's lineage view — from tracing origins to identifying quality issues.

Lineage provides four core capabilities:

See the entire data journey Lineage shows a visual representation of all transformations and operations applied to data, from the original source Dataset through every step to the final output. You can follow the complete path without opening individual jobs or transformation steps.

Identify data dependencies Lineage shows how different Datasets relate to each other — which sources were joined or unioned, which transformations were applied in sequence, and which downstream Datasets depend on the current one. This makes it straightforward to understand the consequences of a change before making it.

Trace data origins When investigating a data quality issue or an unexpected value, lineage lets you trace the data back to its source and identify the exact operation that introduced the problem. This reduces debugging time significantly compared to manually inspecting transformation logs.

Improve data quality By reviewing the lineage of a Dataset, you can identify steps that may be introducing errors, null values, or type mismatches — and take corrective action at the right point in the pipeline.

How Lineage Is Displayed

Lineage is rendered as a tree structure in which each node represents a Dataset, transformation, or operation. The tree reflects the order in which operations were applied and the dependencies between them. Expand or collapse individual nodes to view the details of each step.