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Highlights

The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing (View Highlight)

s of results to runtime characteristics of the pipeline, with a powerful and flexible declarative API for describing desired triggering semantics (Section 2.3). • An incremental processing model that integrates retractions and updates into the windowing and trig- gering models described above (Section 2.3). (View Highlight)