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Why It Matters
Abstract Eleven years ago, the Dataflow Model paper argued that unbounded, out-of-order data was the new normal, and that we must stop waiting for data to ever become complete.
Provenance
Discovered via Lobsters and published by vldb.org.
Key Claims
Original description
Abstract Eleven years ago, the Dataflow Model paper argued that unbounded, out-of-order data was the new normal, and that we must stop waiting for data to ever become complete. It proposed a unified model (windowing, triggers, watermarks, and retractions) for freely trading off correctness, latency, and cost across batch and streaming engines. On the occasion of its VLDB Test of Time award, we grade our own work—a paper about streaming analytics, in truth if not in name—on what aged well, what aged badly, and what we missed. We find the paper’s core foundations largely sound: the primacy of ev...
Discovered via Lobsters
Developer-curated links and discussion from Lobsters.
Publisher: vldb.org
ID: https://lobste.rs/s/r5b28u · Indexed about 2 hours ago