Discuss the advantages of using Pandas API on Spark for data processing in a scenario where you have a mixed environment of small and large datasets. Provide a detailed example and explain the benefits.

Simulated

Pandas API on Spark allows for seamless integration with both small and large datasets, providing a consistent API for data processing.

80.4%

Pandas API on Spark is only suitable for small datasets and does not provide any benefits for large datasets.

7.1%

Pandas API on Spark is only suitable for large datasets and does not provide any benefits for small datasets.

5.4%

Pandas API on Spark requires separate APIs for processing small and large datasets, leading to increased complexity.

7.1%

Databricks Certified Machine Learning - Associate