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Combining Stream Processing Engines and Big Data Storages for Data Analysis

  • Thomas Steinmaurer
  • Patrick Traxler
  • Michael Zwick
  • Reinhard Stumptner
  • Christian Lettner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)

Abstract

We propose a system combining stream processing engines and big data storages for analyzing large amounts of data streams. It allows us to analyze data online and to store data for later offline analysis. An emphasis is laid on designing a system to facilitate simple implementations of data analysis algorithms.

Keywords

Data Stream Data Item Query Language Continuous Query Test Data Generator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Thomas Steinmaurer
    • 1
  • Patrick Traxler
    • 1
  • Michael Zwick
    • 1
  • Reinhard Stumptner
    • 1
  • Christian Lettner
    • 1
  1. 1.Software Competence Center HagenbergAustria

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