SELECT * FROM `Feature`.`Person`

from google.cloud import bigquery import pandas as pd #import credentials # Construct a BigQuery client object. bqclient = bigquery.Client.from_service_account_json("/work/wwbq-deepnote-b7dbe0997dd4.json") # Full path to the new table project.dataset.table_name table_id = 'wwbq-deepnote.Structure_and_Types.target_bq_datatype' # Set up a job configuration job_config = bigquery.LoadJobConfig() data=df # Submit the job job = bqclient.load_table_from_dataframe(data, table_id, job_config=job_config) # Wait for the job to complete and then show the job results job.result() # Read back the properties of the table table = bqclient.get_table(table_id) print("Table:", table.table_id, "has", table.num_rows, "rows and", len(table.schema), "columns")