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 |
| Titel | Combining stream processing engines and big data storages for data analysis |
| Buchtitel | Foundations of Intelligent Systems - Proc. ISMIS 2014 |
| Typ | in Konferenzband |
| Verlag | Springer |
| Serie | Lecture Notes in Computer Science |
| Band | 8502 |
| ISBN | 978-3-319-08325 |
| Monat | June |
| Jahr | 2014 |
| Seiten | 476-485 |
| 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. |