Answer-first summary for fast verification
Answer: Apache Arrow is a library that provides a common memory representation for data, enabling efficient data transfer between different systems.
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format that can be efficiently accessed and processed by all popular programming languages. It is used to enable efficient data transfer between Pandas and Spark DataFrames by providing a common memory representation for data. This allows for faster and more efficient conversions between the two systems.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
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.
No comments yet.