Process large-scale batch data with Apache Beam on multiple runners
Apache Beam is a unified data processing framework that abstracts batch and streaming pipelines. You define a pipeline once (using Beam's API), then execute on multiple engines (runners): Direct (local testing), Dataflow (Google Cloud), Spark, Flink, etc. Batch processing is a core Beam capability for processing bounded (finite) datasets. Beam handles distributed execution, fault tolerance, and optimization transparently. - Unified API: Same code works for batch and streaming (run Beam)