Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/42352
Título: | Data warehousing in big data: from multidimensional to tabular data models |
Autor(es): | Santos, Maribel Yasmina Costa, Carlos |
Palavras-chave: | Analytical data model Big data Hive Data warehouse Data warehousing |
Data: | 20-Jul-2016 |
Editora: | Association for Computing Machinery |
Citação: | Santos, Maribel Yasmina and Carlos Costa, “Data Warehousing in Big Data: From Multidimensional to Tabular Data Models”, Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering (C3S2E), ICPS (ACM), ISBN 978-1-4503-4075-5, July 20-22, Porto, Portugal, 2016 (DOI: 10.1145/2948992.2949024) |
Resumo(s): | Data warehouses are central pieces in business intelligence and analytics as these repositories ensure proper data storage and querying, being supported by data models that allow the analysis of data by different perspectives. Those perspectives support users and organizations in the decision-making process. In Big Data environments, Hive is used as a distributed storage mechanism that provides data warehousing capabilities. Its data schemas are defined attending to the analytical requirements specified by the users. In this work, multidimensional data models are used as the source of those requirements, allowing the automatic transformation of a multidimensional schema into a tabular schema suited to be implemented in Hive. To achieve this objective, a set of rules is proposed and tested in a demonstration case, showing the applicability and usefulness of the proposed approach. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/42352 |
ISBN: | 978-1-4503-4075-5 |
DOI: | 10.1145/2948992.2949024 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
p51-santos.pdf Acesso restrito! | 2,04 MB | Adobe PDF | Ver/Abrir |