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Scaling Data Science does not mean Scaling Machines

Summary: Argues that optimizing for machine-level scale and cloud compute cost misses key dimensions of scaling data science—usability and data scientist productivity. Shows this narrow focus yields unfamiliar tools and calls for user-centered metrics beyond raw compute/scale. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
398
Venue
CIDR
Year
2021
Pagerank
-
Overall Rank
13,234 | 7.94%
DOI
-

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