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Answer: Apache Arrow acts as an in-memory columnar data format, optimizing data transfer between JVM and Python processes in Spark.
Apache Arrow is an in-memory columnar data format utilized in Apache Spark to facilitate efficient data transfer between JVM and Python processes. This format is particularly beneficial for Python developers working with pandas and NumPy data, as it supports efficient data processing and transformation.
Author: LeetQuiz Editorial Team
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How does Apache Arrow enhance data transfer between JVM and Python processes in Apache Spark?
A
Apache Arrow serves as a distributed data processing engine within Spark.
B
Apache Arrow acts as an in-memory columnar data format, optimizing data transfer between JVM and Python processes in Spark.
C
Apache Arrow is a machine-learning library within Spark for model training and evaluation.
D
Apache Arrow functions as a storage system for data persistence in Spark.
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