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Hi fellows, I followed the documentation for packaging Iris on databricks and it works really well π. I wanted to go a step further, using ManagedTableDataset β which works great too β and run different independent pipelines defined on the same project, but I did not manage to do so.
I modified the databricks_run.py to account for a --pipeline option but I think the problem is in packaging the project which does not take into account pipelines created through kedro pipeline create if I am not mistaken (but I probably am). Would you point me towards my mistake?
See more information here (from @datajoely)
Hi fellows, I followed the documentation for packaging Iris on databricks and it works really well π. I wanted to go a step further, using ManagedTableDataset β which works great too β and run different independent pipelines defined on the same project, but I did not manage to do so.
I modified the databricks_run.py to account for a --pipeline option but I think the problem is in packaging the project which does not take into account pipelines created through kedro pipeline create if I am not mistaken (but I probably am). Would you point me towards my mistake?
https://linen-slack.kedro.org/t/13547186/hi-fellows-i-followed-the-documentation-for-packaging-https-#ecacc832-e76f-4b05-92d6-9594bb6f4529
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