Desiderata for a Big Data Language
Summary: Advocates a LINQ-like algebraic intermediate representation to unify diverse big-data systems (tables, arrays, graphs, linear-algebra engines) and enable portability/swappable back-ends. Extends SQO with dimension-aware tabular/array fusion, control-iteration primitives, and native multi-server query semantics to support iterative analytics without routing intermediates through the client. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. David Maier
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