An Open Source System for Big Data Warehousing

Nunziato Cassavia; Elio Masciari; Domenico Saccà

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Paper

An Open Source System for Big Data Warehousing

In Proceedings of the 6th International Conference on Data Science, Technology and Applications - Volume 1: KomIS, 306-313, 2017 , Madrid, Spain

Authors: Nunziato Cassavia ¹ ; Elio Masciari ² and Domenico Saccà ³

Affiliations: ¹ ICAR-CNR and UNICAL, Italy ; ² ICAR-CNR, Italy ; ³ UNICAL and Centro di Competenza ICT-SUD, Italy

Keyword(s): Big Data Warehousing, NoSQL and Mondrian.

Abstract: The pervasive diffusion of new data generation devices has recently caused the generation of massive data flows containing heterogeneous information generated at different rates and having different formats. These data are referred as \emph{Big Data} and require new storage and analysis approaches to be investigated for managing them. In this paper we will describe a system for dealing with massive big data stores. We defined an open source tool that exploits a NoSQL approach for data warehousing in order to offer user am intuitive way to easily query data that could be quite hard to be understood otherwise.

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Paper citation in several formats:

Cassavia, N.; Masciari, E. and Saccà, D. (2017). An Open Source System for Big Data Warehousing. In Proceedings of the 6th International Conference on Data Science, Technology and Applications - KomIS; ISBN 978-989-758-255-4; ISSN 2184-285X, SciTePress, pages 306-313. DOI: 10.5220/0006485703060313

@conference{komis17,
author={Nunziato Cassavia. and Elio Masciari. and Domenico Saccà.},
title={An Open Source System for Big Data Warehousing},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - KomIS},
year={2017},
pages={306-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006485703060313},
isbn={978-989-758-255-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - KomIS
TI - An Open Source System for Big Data Warehousing
SN - 978-989-758-255-4
IS - 2184-285X
AU - Cassavia, N.
AU - Masciari, E.
AU - Saccà, D.
PY - 2017
SP - 306
EP - 313
DO - 10.5220/0006485703060313
PB - SciTePress