A columnar format file that can support different data processing systems is known as Parquet. Both read and write operations can be performed by Spark SQL with the help of the Parquet file. It can be considered as one of the biggest data analytics formats.
Many data processing systems support this Parquet columnar format because of the advantages that it has. The following are the advantages of columnar storage:
Columnar storage can fetch specific columns which the user wants to access
It can also give good summarized data
It has the limit of 10 operations
Space consumption is very less in columnar storage
