Paper Info
Title
An integrated multidimensional modeling approach to access big data in business intelligence platforms
Abstract
The huge amount of information available and its heterogeneity has surpassed the capacity of current data management technologies. Dealing with that huge amounts of structured and unstructured data, often referred as Big Data, is a hot research topic and a technological challenge. In this paper, we present an approach aimed to allow OLAP queries over different, heterogeneous, data sources. The modeling approach proposed is based on a MapReduce paradigm, which integrates different formats into the recent RDF Data Cube format. The benefits of our approach are that it allows a user to make queries that need data from different sources while maintaining, at the same time, an integrated, comprehensive view of the data available. The paper discusses the advantages and disadvantages, as well as the implementation challenges that such approach presents. Furthermore, the approach is illustrated in an example of application.
Year
DOI
Venue
2012
10.1007/978-3-642-33999-8_14
ER Workshops
Keywords
Field
DocType
business intelligence platform,different format,big data,different source,huge amount,mapreduce paradigm,data source,modeling approach,current data management technology,recent rdf data cube,integrated multidimensional modeling approach,unstructured data,conceptual models,business intelligence
Data science,Data mining,Conceptual model,Computer science,Unstructured data,Online analytical processing,Business intelligence,Big data,Data management,Database,Data cube,RDF
Conference
Citations 
PageRank 
References 
4
0.41
12
Authors
3
Name
Order
Citations
PageRank
Alejandro Maté113417.94
Hector Llorens237324.82
Elisa de Gregorio3163.30