Hey, 

I am new to Databricks, and I am trying to test the mlops-stack bundle. 

Within that bundle there is a feature-engineering workflow and I have a problem to make it run. 
The main problem is the following.
the bundle specified the target to be $bundle.target which is in my case would be dev. I have created the dev catalog and within the project schema according to the template. 

The issue is that when I run the workflow, the notebook fails at 

from databricks.feature_engineering import FeatureEngineeringClient

fe = FeatureEngineeringClient()

# Create the feature table if it does not exist first.
# Note that this is a no-op if a table with the same name and schema already exists.
fe.create_table(
    name=output_table_name,    
    primary_keys=[x.strip() for x in pk_columns.split(",")] + [ts_column],  # Include timeseries column in primary_keys
    timestamp_keys=[ts_column],
    df=features_df,
)

# Write the computed features dataframe.
fe.write_table(
    name=output_table_name,
    df=features_df,
    mode="merge",
)

I am getting that:
ValueError: Catalog 'dev' does not exist in the metastore.
And I don't understand why?. If I ran the notebook through my own cluster.

I tried to give all privileges to all users in the workspace, but it did not help.