Data Preparation for Tourist Data Big Data Warehousing

Nunziato Cassavia; Pietro Dicosta; Elio Masciari; Domenico Saccà

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Paper

Data Preparation for Tourist Data Big Data Warehousing

In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: KomIS, 419-426, 2014 , Vienna, Austria

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

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

Keyword(s): ETL for Big Data, NoSQL and Hive.

Abstract: The pervasive diffusion of new generation devices like smart phones and tablets along with the widespread use of social networks causes the generation of massive data flows containing heterogeneous information generated at different rates and having different formats. These data are referred as 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 tourism flows that we exploited for the analysis of tourist behavior in Italy. We defined a framework that exploits a NoSQL approach for data management and map reduce for improving the analysis of the data gathered from different sources.

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Paper citation in several formats:

Cassavia, N.; Dicosta, P.; Masciari, E. and Saccà, D. (2014). Data Preparation for Tourist Data Big Data Warehousing. In Proceedings of 3rd International Conference on Data Management Technologies and Applications (DATA 2014) - KomIS; ISBN 978-989-758-035-2; ISSN 2184-285X, SciTePress, pages 419-426. DOI: 10.5220/0005144004190426

@conference{komis14,
author={Nunziato Cassavia. and Pietro Dicosta. and Elio Masciari. and Domenico Saccà.},
title={Data Preparation for Tourist Data Big Data Warehousing},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications (DATA 2014) - KomIS},
year={2014},
pages={419-426},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005144004190426},
isbn={978-989-758-035-2},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications (DATA 2014) - KomIS
TI - Data Preparation for Tourist Data Big Data Warehousing
SN - 978-989-758-035-2
IS - 2184-285X
AU - Cassavia, N.
AU - Dicosta, P.
AU - Masciari, E.
AU - Saccà, D.
PY - 2014
SP - 419
EP - 426
DO - 10.5220/0005144004190426
PB - SciTePress