Is your feature request related to a problem? Please describe.
I would like to have a possibility to use the data of the registered saved_dataset in a different spark session. Now I have only a name in the feast registry without the data if I create a new spark session.

Part of persist function:

"""
Run the retrieval and persist the results in the same offline store used for read.
Please note the persisting is done only within the scope of the spark session.
"""
assert isinstance(storage, SavedDatasetSparkStorage)
table_name = storage.spark_options.table
if not table_name:
    raise ValueError("Cannot persist, table_name is not defined")
self.to_spark_df().createOrReplaceTempView(table_name)

Describe the solution you'd like
Add possibility to save dataset as a table, for example when Spark Session config is included info about remote storage (hive, s3 path, etc)

Describe alternatives you've considered
Add an optional parameter for SparkOptions, which allows to save dataset as a table in any spark session configurations.

Additional context