Description
Processes large datasets with Apache Spark's unified analytics engine. It helps data engineers and researchers run batch jobs, interactive queries, streaming tasks, and machine-learning pipelines on local or clustered resources.
Spark jobs can consume substantial CPU, memory, disk, and network resources and may process sensitive datasets. Review configuration, cluster access, credentials, and data handling before running workloads.