Databricks Certified Machine Learning - Associate
Get started today
Ultimate access to all questions.
Ultimate access to all questions.
Why is Pandas API syntax compatible within a Pandas UDF function when applied to a Spark DataFrame?
Explanation:
Apache Arrow is used by Pandas UDF to efficiently transfer data between Spark and Pandas formats. This enables the Pandas UDF to perform operations using the Pandas API on data in Spark DataFrames. It’s a critical component in providing high-performance and user-friendly interoperability between pandas and Spark.