Learn how Tetra Data Platform v3.6 streamlines the process of creating custom pipelines that transform raw scientific data into AI-ready Tetra Data. This video provides two examples of custom pipelines: one adds labels to data; the other also harmonizes, further enriches, and then pushes data to a third-party application. For both examples, the video shows how newly introduced protocol.yml files help simplify pipeline development.
To learn more about the new features and enhancements in v3.6, read the full release notes.