event-time windowing
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Unified Apache Beam Pipeline for Batch & Stream Processing
Read Full Article: Unified Apache Beam Pipeline for Batch & Stream Processing
The tutorial demonstrates how to build a unified Apache Beam pipeline capable of handling both batch and stream-like data using the DirectRunner. By generating synthetic, event-time–aware data, it showcases the application of fixed windowing with triggers and allowed lateness, ensuring consistent handling of on-time and late events. The pipeline's core aggregation logic remains unchanged regardless of the input source, highlighting Apache Beam's ability to manage event-time semantics effectively without external streaming infrastructure. This matters because it provides a clear understanding of Beam’s event-time model, enabling developers to apply the same logic to real-world streaming environments.
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