Cloud Computing & Big Data : Handling large datasets via cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop, Kafka) is critical. Deploying scalable models, using ETL pipelines, and leveraging distributed computing ensure efficient, production-ready workflows.
