I have used the following code in python to read a parquet file from a datastore as:
from azureml.core import Dataset, Datastore, Workspace
subscription_id = 'xyz'
resource_group = 'abc'
workspace_name = 'pqr'
workspace = Workspace(subscription_id, resource_group, workspace_name)
datastore = Datastore.get(workspace, 'workspaceblobstore')
tabular_dataset_3 = Dataset.Tabular.from_parquet_files(path=(datastore,'/UI/09-17-2022_125003_UTC/userdata1.parquet'))
df=tabular_dataset_3.to_pandas_dataframe()
I have checked it here but have not found any documentation to read a parquet file from a datastore.
Since, I am using the Azure ML notebook with R kernel, So, Can anyone please help how to write the equivalent R code in Azure ML notebook with R kernel ?
Any help would be appreciated.