To identify outdated datasets in a data pipeline, which feature of Data Lineage should be utilized?

To identify outdated datasets in a data pipeline, visualizing the pipeline through coloring is an effective method. This feature allows users to apply different colors to datasets based on specific attributes or statuses. For example, datasets that are outdated can be represented in a distinct color, making it easy to spot them at a glance within the overall pipeline. This visualization not only enhances clarity but also facilitates a quicker response in maintaining the relevance and accuracy of the data being processed.

The ability to visualize data lineage using color effectively highlights relationships and the status of different datasets, which is particularly beneficial when managing complex data flows and dependencies. As a result, this approach greatly aids data engineers in efficiently identifying and rectifying issues like outdated datasets.