Which of the following practices are essential when implementing pipelines backing ontology objects in Foundry?

When implementing pipelines that support ontology objects in Palantir Foundry, ensuring that data transformations preserve semantic relationships is crucial. This practice is centered on maintaining the meaning and context of the data as it moves through the pipeline. Semantic relationships help in defining how different data entities relate to each other within the ontology, which is essential for maintaining accurate analytics, insights, and data integrity.

By preserving these relationships, the integrity of the data model is upheld, allowing users to use the data effectively and confidently. If transformations alter or obscure these relationships, it can lead to misinterpretations or inaccuracies in the insights derived from the data, ultimately undermining the quality and reliability of the analyses. This practice ensures that the pipeline aligns with the overall goals of the ontology and supports complex queries and data analyses that depend on those semantic connections.

In contrast, not aligning pipeline logic with the ontology’s definitions or neglecting documentation could lead to inconsistencies or a lack of clarity in how the data is structured, while implementing error handling for discrepancies, while valuable, is more of a reactive measure rather than a foundational practice in maintaining semantic fidelity during data transformations.