The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing
In this reference
Tyler Akidau, Robert Bradshaw, Craig Chambers, and others: The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing.
Cite the original work
Tyler Akidau & Robert Bradshaw & Craig Chambers & Slava Chernyak & Rafael J. Fernandez-Moctezuma & Reuven Lax & Sam McVeety & Daniel Mills & Frances Perry & Eric Schmidt & Sam Whittle (2015). The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing [Research paper]. 41st International Conference on Very Large Data Bases. https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43864.pdf
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@misc{the_dataflow_model_a_practical_approach_to_balancing_correctness_latency_and_cost_in_massi,
author = {Tyler Akidau and Robert Bradshaw and Craig Chambers and Slava Chernyak and Rafael J. Fernandez-Moctezuma and Reuven Lax and Sam McVeety and Daniel Mills and Frances Perry and Eric Schmidt and Sam Whittle},
title = {{The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing}},
howpublished = {41st International Conference on Very Large Data Bases},
url = {https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43864.pdf},
year = {2015}
}
