Combining stream processing engines and big data storages for data analysis

Autoren Thomas Steinmaurer
Patrick Traxler
Michael Zwick
Reinhard Stumptner
Lettner Christian
Editoren T. Andreasen
H. Christiansen
J.-C. Cubero
Z. W. Ras
TitelCombining stream processing engines and big data storages for data analysis
BuchtitelFoundations of Intelligent Systems - Proc. ISMIS 2014
Typin Konferenzband
VerlagSpringer
SerieLecture Notes in Computer Science
Band8502
ISBN978-3-319-08325
MonatJune
Jahr2014
Seiten476-485
SCCH ID#1417
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.