Performing OLAP over graph data: query language, implementation, and a case study

"In current Big Data scenarios, traditional data warehousing and Online Analytical Processing (OLAP) operations on cubes are clearly not sufficient to address the current data analysis requirements. Nevertheless, OLAP operations and models can expand the possibilities of graph analysis beyond t...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Gómez, Leticia Irene, Kuijpers, Bart, Vaisman, Alejandro Ariel
Formato: Ponencias en Congresos acceptedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
ANALISIS DE DATOS
BASES DE DATOS
OLAP
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1717
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1717
record_format dspace
spelling I32-R138-123456789-17172022-12-07T14:13:38Z Performing OLAP over graph data: query language, implementation, and a case study Gómez, Leticia Irene Kuijpers, Bart Vaisman, Alejandro Ariel ANALISIS DE DATOS BASES DE DATOS OLAP "In current Big Data scenarios, traditional data warehousing and Online Analytical Processing (OLAP) operations on cubes are clearly not sufficient to address the current data analysis requirements. Nevertheless, OLAP operations and models can expand the possibilities of graph analysis beyond the traditional graph-based computation. In spite of this, there is not much work on the problem of taking OLAP analysis to the graph data model. In previous work we proposed a multidimensional (MD) data model for graph analysis, that considers not only the basic graph data, but background information in the form of dimension hierarchies as well. The graphs in our model are node- and edge-labelled directed multi-hypergraphs, called graphoids, defined at several different levels of granularity. In this paper we show how we implemented this proposal over the widely used Neo4J graph database, discuss implementation issues, and present a detailed case study to show how OLAP operations can be used on graphs." 2019-08-16T15:14:14Z 2019-08-16T15:14:14Z 2017-08 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion 978-1450-35-425-7 http://ri.itba.edu.ar/handle/123456789/1717 en info:eu-repo/grantAgreement/UH/BOF/16KV09/BE. Hasselt info:eu-repo/grantAgreement/ANPCyT/PICT/2014-0787/AR. Ciudad Autónoma de Buenos Aires info:eu-repo/semantics/altIdentifier/doi/10.1145/3129292.3129293 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic ANALISIS DE DATOS
BASES DE DATOS
OLAP
spellingShingle ANALISIS DE DATOS
BASES DE DATOS
OLAP
Gómez, Leticia Irene
Kuijpers, Bart
Vaisman, Alejandro Ariel
Performing OLAP over graph data: query language, implementation, and a case study
topic_facet ANALISIS DE DATOS
BASES DE DATOS
OLAP
description "In current Big Data scenarios, traditional data warehousing and Online Analytical Processing (OLAP) operations on cubes are clearly not sufficient to address the current data analysis requirements. Nevertheless, OLAP operations and models can expand the possibilities of graph analysis beyond the traditional graph-based computation. In spite of this, there is not much work on the problem of taking OLAP analysis to the graph data model. In previous work we proposed a multidimensional (MD) data model for graph analysis, that considers not only the basic graph data, but background information in the form of dimension hierarchies as well. The graphs in our model are node- and edge-labelled directed multi-hypergraphs, called graphoids, defined at several different levels of granularity. In this paper we show how we implemented this proposal over the widely used Neo4J graph database, discuss implementation issues, and present a detailed case study to show how OLAP operations can be used on graphs."
format Ponencias en Congresos
acceptedVersion
author Gómez, Leticia Irene
Kuijpers, Bart
Vaisman, Alejandro Ariel
author_facet Gómez, Leticia Irene
Kuijpers, Bart
Vaisman, Alejandro Ariel
author_sort Gómez, Leticia Irene
title Performing OLAP over graph data: query language, implementation, and a case study
title_short Performing OLAP over graph data: query language, implementation, and a case study
title_full Performing OLAP over graph data: query language, implementation, and a case study
title_fullStr Performing OLAP over graph data: query language, implementation, and a case study
title_full_unstemmed Performing OLAP over graph data: query language, implementation, and a case study
title_sort performing olap over graph data: query language, implementation, and a case study
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1717
work_keys_str_mv AT gomezleticiairene performingolapovergraphdataquerylanguageimplementationandacasestudy
AT kuijpersbart performingolapovergraphdataquerylanguageimplementationandacasestudy
AT vaismanalejandroariel performingolapovergraphdataquerylanguageimplementationandacasestudy
_version_ 1765660865845002240

Ejemplares similares