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 provide 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
Abstract — Cloud computing is a powerful technology to perform massive-scale and complex computing. ...
This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in ...
voluminous amount of data is generated each day from modern information systems and digital technolo...
Data warehousing and OLAP over Big Data is becoming one of the emergent challenges for next-generati...
Starting from the combination of two emerging research areas, namely OLAP-based big data analytics t...
This paper proposes a comprehensive critical survey on the issues of warehousing and protecting big ...
Following our previous research results, in this paper we provide two authoritative application scen...
Big data is currently one of the most critical emerging technologies. Big Data are used as a concept...
International audienceDuring the last two decades, architecture of traditional Data Warehouses (DW) ...
We welcome you to the special issue for the best papers presented at the 16th ACM Data Warehousing a...
Big data is the term for data sets so large and complicated that it becomes difficult to process usi...
[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]MOTIVENational audienceData warehouses and OLAP syst...
Inspired by the emerging Big Data challenge, in this paper we provide the description of OLAP*, a Cl...
Big Data is data that either is too large, grows too fast, or does not fit into traditional architec...
As data grow, need for big data solution gets increased day by day. Concept of data harmonization ex...
Abstract — Cloud computing is a powerful technology to perform massive-scale and complex computing. ...
This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in ...
voluminous amount of data is generated each day from modern information systems and digital technolo...
Data warehousing and OLAP over Big Data is becoming one of the emergent challenges for next-generati...
Starting from the combination of two emerging research areas, namely OLAP-based big data analytics t...
This paper proposes a comprehensive critical survey on the issues of warehousing and protecting big ...
Following our previous research results, in this paper we provide two authoritative application scen...
Big data is currently one of the most critical emerging technologies. Big Data are used as a concept...
International audienceDuring the last two decades, architecture of traditional Data Warehouses (DW) ...
We welcome you to the special issue for the best papers presented at the 16th ACM Data Warehousing a...
Big data is the term for data sets so large and complicated that it becomes difficult to process usi...
[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]MOTIVENational audienceData warehouses and OLAP syst...
Inspired by the emerging Big Data challenge, in this paper we provide the description of OLAP*, a Cl...
Big Data is data that either is too large, grows too fast, or does not fit into traditional architec...
As data grow, need for big data solution gets increased day by day. Concept of data harmonization ex...
Abstract — Cloud computing is a powerful technology to perform massive-scale and complex computing. ...
This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in ...
voluminous amount of data is generated each day from modern information systems and digital technolo...