Data Science, Analytics, Databricks, Data Cleaning.
spark.read.format(file_type) \ .option("inferSchema", infer_schema) \ .option("header", first_row_is_header) \ .option("sep", delimiter) \ .load(file_location) # create table from dataframe permanent_table_name = "users_raw" df.write.format("parquet").saveAsTable(permanent_table_name) If you are