4.1 Article

Dagstuhl Seminar on Big Stream Processing

Journal

SIGMOD RECORD
Volume 47, Issue 3, Pages 36-39

Publisher

ASSOC COMPUTING MACHINERY

Keywords

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Funding

  1. European Regional Development Fund via the Mobilitas Pluss program [MOBTT75]
  2. H2020 project CPaas.io [688227, 723076, 688191, 687691]
  3. H2020 project HOBBIT [688227, 723076, 688191, 687691]
  4. H2020 project Streamline [688227, 723076, 688191, 687691]
  5. H2020 project Proteus [688227, 723076, 688191, 687691]
  6. German Ministry for Education and Research as Berlin Big Data Center [01IS14013A]

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Stream processing can generate insights from big data in real time as it is being produced. This paper reports findings from a 2017 seminar on big stream processing, focusing on applications, systems, and languages.

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