What are the best practices for using MLOps and DLT together?
This page https://learn.microsoft.com/en-us/azure/databricks/compute/access-mode-limitations states that
You cannot use a single user cluster to query tables created by a Unity Catalog-enabled Delta Live Tables pipeline, including streaming tables and materialized views created in Databricks SQL. To query tables created by a Delta Live Tables pipeline, you must use a shared cluster using Databricks Runtime 13.1 and above.
MLOps cluster only supports single user access mode as stated on this page https://learn.microsoft.com/en-us/azure/databricks/machine-learning/
To access data in Unity Catalog for machine learning workflows, the access mode for the cluster must be single user (assigned). Shared clusters are not compatible with Databricks Runtime for Machine Learning.
Is it possible to use an ML cluster with dlt + unity catalog somehow? If not then will it become possible in near future and is there a workaround meanwhile?
