0 votes
in Spark Sql by

What is the difference between a DataFrame and a Dataset in Spark SQL?

1 Answer

0 votes
by

A Dataset is a type-safe, object-oriented programming interface that represents a distributed collection of data in Spark. It extends the functionality of a DataFrame by adding a type-safe, functional programming API. A DataFrame, on the other hand, is a Spark SQL data structure that provides a more flexible and convenient way to process structured data.

Related questions

0 votes
asked Oct 27, 2022 in Python by SakshiSharma
+1 vote
asked Oct 28, 2022 in Python by SakshiSharma
...