Combining stream processing engines and big data storages for data analysis

T. Steinmaurer, P. Traxler, M. Zwick, R. Stumptner, L. Christian. Combining stream processing engines and big data storages for data analysis. volume 8502, pages 476-485, 6, 2014.

Autoren
  • Thomas Steinmaurer
  • Patrick Traxler
  • Michael Zwick
  • Reinhard Stumptner
  • Lettner Christian
Editoren
  • T. Andreasen
  • H. Christiansen
  • J.-C. Cubero
  • Z. W. Ras
BuchFoundations of Intelligent Systems - Proc. ISMIS 2014
TypIn Konferenzband
VerlagSpringer
SerieLecture Notes in Computer Science
Band8502
ISBN978-3-319-08325
Monat6
Jahr2014
Seiten476-485
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.