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Emma in Action: Declarative Dataflows for Scalable Data Analysis

Summary: Emma in Action showcases a Scala-embedded dataflow language for declarative, scalable analysis. Quoting entire analyses and separating sequential control from parallel dataflow enables context-aware optimization and offloading to Spark or Flink. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5168
Venue
SIGMOD
Year
2016
Pagerank
4.1945683e-05
Overall Rank
11,840 | 17.64%
DOI
10.1145/2882903.2889396

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Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
2,350 An Intermediate Representation for Optimizing Machine Learning Pipelines 2019 VLDB 8.9788641e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
202 LINQ: Reconciling Objects, Relations and XML in the .NET Framework 2006 SIGMOD 0.00034920912
2,818 Implicit Parallelism through Deep Language Embedding 2015 SIGMOD 8.0665558e-05
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