8. [Repositories] Ontology Data Pipelines35. Key Takeaways

35 - Key Takeaways

This content is also available at learn.palantir.com ↗ and is presented here for accessibility purposes.

As pipeline developers and maintainers with an understanding of Foundry architecture, data engineers play a crucial role in establishing and sustaining an organization's Ontology.

In this tutorial you:

  1. Learned core Ontology concepts, basic use cases, and design decisions.
  2. Used the Object Explorer to search the Ontology.
  3. Set up a project folder, resources, and datasets to back your Ontology object and link types.
  4. Used OMA to configure object and link types as well as "writeback" datasets to enable user edits through Ontology-aware applications.
  5. Reapplied checks to your pipeline after adding new Ontology datasets.
  6. Practiced troubleshooting common Ontology synchronization issues.

Below is a list of product documentation used in the course of this training: