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EnglishData 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.
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| Titolo: | Data warehousing and OLAP over Big Data: A survey of the state-of-the-art, open problems and future challenges | |
| Autori: | ||
| Data di pubblicazione: | 2015 | |
| Rivista: | ||
| 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. | |
| Handle: | http://hdl.handle.net/20.500.11770/312676 | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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