4.1 Article

Stream Processing Languages in the Big Data Era

期刊

SIGMOD RECORD
卷 47, 期 2, 页码 29-40

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3299887.3299892

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资金

  1. CNRS Mastodons Med-Clean
  2. European Regional Development Fund via the Mobilitas Pluss program [MOBTT75]
  3. dat-Acron project, through the European Union's Horizon 2020 research and innovation program [687591]

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This paper is a survey of recent stream processing languages, which are programming languages for writing applications that analyze data streams. Data streams, or continuous data flows, have been around for decades. But with the advent of the big-data era, the size of data streams has increased dramatically. Analyzing big data streams yields immense advantages across all sectors of our society. To analyze streams, one needs to write a stream processing application. This paper showcases several languages designed for this purpose, articulates underlying principles, and outlines open challenges.

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