A data engineering team switches their Delta Lake ETL workloads from standard Databricks Runtime to a Photon-enabled runtime. Which type of operations benefit most significantly from Photon?

Question

Accepted Answer

B. SQL and DataFrame operations on Delta and Parquet data, especially scans, aggregations, and joins. Photon is a vectorized query engine written in C++ that accelerates SQL and DataFrame operations on Delta Lake and Parquet files. It provides the largest speedups for compute-intensive operations like table scans, filters, aggregations, and joins. Python UDFs execute outside Photon in the Python runtime and do not benefit. MLflow and Auto Loader operations are not primarily accelerated by Photon.

A data engineering team switches their Delta Lake ETL workloads from standard Databricks Runtime to a Photon-enabled runtime. Which type of operations benefit most significantly from Photon?

Related Questions

Discussion