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.

Data warehousing and OLAP over Big Data: A survey of the state-of-the-art, open problems and future challenges

CUZZOCREA, Alfredo Massimiliano
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.
http://www.inderscience.com/info/inarticletoc.php?jcode=ijbpim&year=2015&vol=7&issue=4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2871871
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