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Benchmarking Big Data OLAP NoSQL Databases

El Malki, Mohammed and Kopliku, Arlind and Sabir, Essaid and Teste, Olivier Benchmarking Big Data OLAP NoSQL Databases. (2018) In: 4th International Symposium on Ubiquitous Networking (UNet 2018), 2 May 2018 - 5 May 2018 (Hammamet, Tunisia).

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Official URL: https://doi.org/10.1007/978-3-030-02849-7_8

Abstract

With the advent of Big Data, new challenges have emerged regarding the evaluation of decision support systems (DSS). Existing evaluation benchmarks are not configured to handle a massive data volume and wide data diversity. In this paper, we introduce a new DSS benchmark that supports multiple data storage systems, such as relational and Not Only SQL (NoSQL) systems. Our scheme recognizes numerous data models (snowflake, star and flat topologies) and several data formats (CSV, JSON, TBL, XML, etc.). It entails complex data generation characterized within “volume, variety, and velocity” framework (3 V). Next, our scheme enables distributed and parallel data generation. Furthermore, we exhibit some experimental results with KoalaBench.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 11277 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978-3-030-02848-0 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-030-02849-7_8
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Other partners > Université Hassan II Casablanca - UH2C (MOROCCO)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:04 Mar 2020 14:46

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