A complete solution for open data platforms, enterprise data catalogs, data lakes and data management. Open source, mature, fully-featured and production ready.

DataHub

Hello, I'm trying to ingest ML Models into DataHub. Since there's no recipe, what's the best way to do it? I was looking for the Demo code, which contains 2 ML Models, but I couldn't find it.

have you looked at this: <https://github.com/linkedin/datahub/blob/662017ef171a18571c36d140c2315b1225ef92ac/metadata-ingestion/src/datahub/ingestion/source/aws/sagemaker.py>

<https://github.com/linkedin/datahub/tree/662017ef171a18571c36d140c2315b1225ef92ac/metadata-ingestion/src/datahub/ingestion/source/aws/sagemaker_processors|https://github.com/linkedin/datahub/tree/662017ef171a18571c36d140c2315b1225ef92ac/[…]ingestion/src/datahub/ingestion/source/aws/sagemaker_processors>

We've heard from the community that the metadata model for ML needs some improvements. Would love to get your feedback. Which system are you trying to integrate with?

If MLFlow is integreated, it will drive massive adoption

Agreed. Would be great to get a contribution from you!