A data engineer runs a nightly gold-layer job that performs large SQL aggregations and joins over Delta tables. The job meets its SLA but leadership wants faster runtimes without rewriting the transformation logic. The cluster currently uses a standard Databricks Runtime. Which change is most likely to accelerate this CPU-bound SQL and aggregation workload with minimal code changes?