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

Affiliations: 1 ICAR-CNR, Italy ; 2 NTT DATA, Italy ; 3 UNICAL, Italy

ISBN: 978-989-758-103-8

Keyword(s): Big Data, Solr, Clustering.

Abstract: Due to the emerging Big Data paradigm traditional data management techniques result inadequate in many real life scenarios. In particular, OLAP techniques require substantial changes in order to offer useful analysis due to huge amount of data to be analyzed and their velocity and variety. In this paper, we describe an approach for dynamic Big Data searching that based on data collected by a suitable storage system, enriches data in order to guide users through data exploration in an efficient and effective way.

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Paper citation in several formats:
Cassavia N., Dicosta P., Masciari E. and Saccà D. (2015). Surfing Big Data Warehouses for Effective Information Gathering.In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2015) ISBN 978-989-758-103-8, pages 373-377. DOI: 10.5220/0005579403730377

@conference{komis15,
author={Nunziato Cassavia and Pietro Dicosta and Elio Masciari and Domenico Saccà},
title={Surfing Big Data Warehouses for Effective Information Gathering},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2015)},
year={2015},
pages={373-377},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005579403730377},
isbn={978-989-758-103-8},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2015)
TI - Surfing Big Data Warehouses for Effective Information Gathering
SN - 978-989-758-103-8
AU - Cassavia N.
AU - Dicosta P.
AU - Masciari E.
AU - Saccà D.
PY - 2015
SP - 373
EP - 377
DO - 10.5220/0005579403730377

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