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In the context of Pandas UDFs, explain the concept of data serialization and its impact on performance when working with distributed datasets in Spark. Provide an example of how you would optimize data serialization in a Pandas UDF.
A
Data serialization refers to the process of converting data into a format that can be easily transmitted or stored.
B
Data serialization refers to the process of converting data into a format that can only be used within a specific programming language or environment.
C
Data serialization refers to the process of converting data into a format that is optimized for specific types of operations or transformations.
D
Data serialization is not a relevant concept when working with Pandas UDFs in Spark.
