loading
Documents

Research.Publish.Connect.

Paper

Authors: Yudith Cardinale 1 ; Sonia Guehis 2 and Marta Rukoz 2

Affiliations: 1 Universidad Simón Bolívar, Venezuela ; 2 Université Paris Nanterre, Université Paris Dauphine, PSL Research University and CNRS, France

ISBN: 978-989-758-262-2

Keyword(s): Big Data Analytic, Analytic Models for Big Data, Analytical Data Management Applications.

Related Ontology Subjects/Areas/Topics: Big Data ; Data Engineering ; Data Management and Quality

Abstract: Analytical data management applications, affected by the explosion of the amount of generated data in the context of Big Data, are shifting away their analytical databases towards a vast landscape of architectural solutions combining storage techniques, programming models, languages, and tools. To support users in the hard task of deciding which Big Data solution is the most appropriate according to their specific requirements, we propose a generic architecture to classify analytical approaches. We also establish a classification of the existing query languages, based on the facilities provided to access the big data architectures. Moreover, to evaluate different solutions, we propose a set of criteria of comparison, such as OLAP support, scalability, and fault tolerance support. We classify different existing Big Data analytics solutions according to our proposed generic architecture and qualitatively evaluate them in terms of the criteria of comparison. We illustrate how ou r proposed generic architecture can be used to decide which Big Data analytic approach is suitable in the context of several use cases. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.159.51.118

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Cardinale Y., Guehis S. and Rukoz M. (2017). Big Data Analytic Approaches Classification.In Proceedings of the 12th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-262-2, pages 151-162. DOI: 10.5220/0006437801510162

@conference{icsoft17,
author={Yudith Cardinale and Sonia Guehis and Marta Rukoz},
title={Big Data Analytic Approaches Classification},
booktitle={Proceedings of the 12th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2017},
pages={151-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006437801510162},
isbn={978-989-758-262-2},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Big Data Analytic Approaches Classification
SN - 978-989-758-262-2
AU - Cardinale Y.
AU - Guehis S.
AU - Rukoz M.
PY - 2017
SP - 151
EP - 162
DO - 10.5220/0006437801510162

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.