Yes, it is! Realtime applications make use of external file systems like local, HDFS, HBase, MySQL table, S3 Azure etc. Following example shows how we can create DataFrame by reading data from a csv file present in the local system:
df = spark.read.csv("/path/to/file.csv")?
PySpark supports csv, text, avro, parquet, tsv and many other file extensions.
