Big Data Science Needs Big Data Middleware
Summary: Proposes "big-data middleware"—an algebraic, parallel, iterative programming model to federate and optimize across diverse systems beyond file‑level interoperability. Extends Myria into a shared interface exposing common operators and cross‑platform optimization while preserving system-specific strengths. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Bill Howe (University of Washington)
BibTeX Citation
@inproceedings{howe_cidr15,
address = {Amsterdam, Netherlands},
series = {{CIDR} '15},
title = {{Big Data Science Needs Big Data Middleware}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Howe, Bill},
year = {2015}
}
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