Starting from the combination of two emerging research areas, namely OLAP-based big data analytics tools and Cloud infrastructures, this paper focuses the attention on so-called scalable OLAP-based big data analytics tools, by providing literature overview and two state-of-the-art research contributions of recent years. Acting as fundamental components, these solutions are likely to be integrated in larger OLAP-based big data analytics tools of the future.
Scalable OLAP-Based Analytics over Cloud Infrastructures: Models, Issues, Algorithms / Cuzzocrea, Alfredo Massimiliano. - STAMPA. - (2017), pp. 17-21. ( 2017 ACM International Conference on Cloud and Big Data Computing London, UK September 18-20, 2017) [10.1145/3141128.3141149].
Scalable OLAP-Based Analytics over Cloud Infrastructures: Models, Issues, Algorithms
CUZZOCREA, Alfredo Massimiliano
2017-01-01
Abstract
Starting from the combination of two emerging research areas, namely OLAP-based big data analytics tools and Cloud infrastructures, this paper focuses the attention on so-called scalable OLAP-based big data analytics tools, by providing literature overview and two state-of-the-art research contributions of recent years. Acting as fundamental components, these solutions are likely to be integrated in larger OLAP-based big data analytics tools of the future.| File | Dimensione | Formato | |
|---|---|---|---|
|
iccbdc cover+toc+contributo.pdf
Accesso chiuso
Tipologia:
Documento in Versione Editoriale
Licenza:
Digital Rights Management non definito
Dimensione
2.19 MB
Formato
Adobe PDF
|
2.19 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
