Is there a new best practice for partitioning assets loaded from a dbt manifest in 0.15?

hi @Alec Ryan there's no new guidance on partitioned dbt assets as of 0.15.0, although it is on our radar: https://github.com/dagster-io/dagster/issues/7683. For some extra background, in what way are you imagining partitioning your dbt assets? Would only incremental models have partitions, or would non-incremental models have them as well? Are you interested more in the backfilling capabilities of partitions, or something else?

Yeah I imagine backfilling partitions would be helpful

Hi @owen, right now our dbt model is using incremental strategy with start_time and end_time passed from dagster job. Specifically, we run partition ingestion job, daily. And when the daily ingestion finished, we pass the partition into dbt by variables to run dbt incrementally.