Databricks Certified Machine Learning - Associate
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In the context of Apache Spark and Pandas UDFs, explain the role of Apache Arrow in the conversion process between Pandas and Spark DataFrames. Provide a detailed example of how you would use Apache Arrow to convert a Pandas DataFrame to a Spark DataFrame and vice versa.
A
Apache Arrow is a serialization format that allows for efficient data transfer between Pandas and Spark DataFrames.
B
Apache Arrow is a library that provides a common memory representation for data, enabling efficient data transfer between different systems.
C
Apache Arrow is a programming language that is used to write UDFs in Spark.
D
Apache Arrow is a tool for data visualization in Spark.