Parquet is a columnar format that is supported by several data processing systems. With the Parquet file, Spark can perform both read and write operations.
Some of the advantages of having a Parquet file are:
- It enables you to fetch specific columns for access.
- It consumes less space
- It follows the type-specific encoding
- It supports limited I/O operations