Querying multidimensional databases

Cabibbo, Luca; Torlone, Riccardo

doi:10.1007/3-540-64823-2_18

Cited by 88 publications

(77 citation statements)

References 13 publications

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“…By using RDF we can take advantage of the existing semantic Web technologies that make the publication, exchange, and querying of RDF data simpler. In particular, Etcheverry & Vaisman (2012) propose to define both schema and instances of fusion cubes as RDF graphs describing the multidimensional model (i.e., dimension instances are sets of roll-up functions, and fact instances are points in a multidimensional space, as proposed by Cabibbo & Torlone, 1997). This large volume of RDF data can partly be stored and queried efficiently using specialized RDF warehousing engines, so-called triple-stores (Liu, Thomsen & Pedersen, 2011).…”

Section: Storing Situational Datamentioning

confidence: 99%

Fusion Cubes

Abelló

Darmont

Etcheverry

et al. 2013

International Journal of Data Warehousing and Mining

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Section: Storing Situational Datamentioning

confidence: 99%

Fusion Cubes

Abelló

Darmont

Etcheverry

et al. 2013

International Journal of Data Warehousing and Mining

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“…There are two nodes storing information about two companies, shareholders one of each other. Each node stores information about their dimensions of interest in dimension tables, conforming a hierarchy of levels [1,9] and one or more fact tables recording events from the company. Node 1 holds information about products (in dimension Product), and geographic organization (in dimension Geography).…”

Section: Motivationmentioning

confidence: 99%

Aggregate queries in peer-to-peer OLAP

Espil

Vaisman

2004

Proceedings of the 7th ACM International Workshop on Data Warehousing and OLAP

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A peer-to-peer (P2P) data management system consists essentially of a network of peer systems, each maintaining full autonomy over its own data resources. Data exchange between peers occurs when one of them, in the role of a local peer, needs data available in other nodes, denoted the acquaintances of the local peer. No global schema is assumed to exist for any data under this computing paradigm. Henceforth, data provided by an acquaintance of a local peer must be adapted, in a manner that answers to queries posed by local peer users conform the view those users have of their data. Because a multidimensional database normally consists in a collection of views of aggregated data, a careful translation process is needed in this case, in order to transform any summary concept that appears in a peer acquaintance into a summary concept meaningful to the requesting peer. We present a model for multidimensional data distributed in a P2P network, and a query rewriting technique, that allows a local peer to propagate OLAP queries among its acquaintances, obtaining a meaningful and correct answer.

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“…In [CT97], a multidimensional database is modeled through the notions of dimensions and ftables. Dimensions are constructed from hierarchies of dimension levels, whereas f-tables are repositories for the factual data.…”

Section: Cube-oriented Modelsmentioning

confidence: 99%

A survey of logical models for OLAP databases

1999

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In this paper, we present different proposals for multidimensional data cubes, which are the basic logical model for OLAP applications. We have grouped the work in the field in two categories: commercial tools (presented along with terminology and standards) and academic efforts. We further divide the academic efforts in two subcategories: the relational model extensions and the cube-oriented approaches. Finally, we attempt a comparative analysis of the various efforts.

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Querying multidimensional databases

Cited by 88 publications

References 13 publications

Fusion Cubes

Fusion Cubes

Aggregate queries in peer-to-peer OLAP

A survey of logical models for OLAP databases

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