This session addresses the movement and transformation of data at scale. Batch transformations handle scheduled, high-volume data ingestion and ETL operations (DLO/DMO patterns). Streaming transformations process real-time data updates for responsive personalization. Both approaches work within Data Cloud to ensure data freshness and accuracy for marketing activations.

Key Takeaway: Implement flexible, scalable data pipelines supporting both scheduled and real-time use cases.