Data warehousing and OLAP over Big Data: A survey of the state-of-the-art, open problems and future challenges
Articolo
Data di Pubblicazione:
2015
Abstract:
Data warehousing and OLAP over Big Data is becoming one of the emergent challenges for next-generation research, with special emphasis on data-intensive cloud infrastructures. As a consequence, several studies are focusing the attention on this relevant issue, and various open problems arise. This evidence has inspired our study, which provides a comprehensive overview on actual open research problems in the context of data warehousing and OLAP over Big Data, along with a deep critical discussion on future research directions to be taken under this so-challenging road.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Big data; Data warehousing; OLAP; OLAPing big data; Warehousing big data
Elenco autori:
Cuzzocrea, ALFREDO MASSIMILIANO
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