Spark Question

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