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Towards Integrations of Big Data Technology Components

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Information Systems (EMCIS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 341))

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Abstract

Addressing the increasing volumes of data requires specific technologies, sophisticated methods and tools. Recently, the Big data processing’ challenge gave a strong impulse to the development of new data technologies. Considering that organizations still use their traditional database applications, reconciliation of both cases will be a more effective way to manage data functions in the organizations. In this paper we propose a framework for processing Big data based on technologies provided by Oracle. We also discuss some performance aspects of the proposed framework.

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Acknowledgments

This work was sponsored by the University of Sofia “St. Kliment Ohridski” SRF under the contract 80-10-143/2018.

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Authors and Affiliations

  1. Faculty of Mathematics and Informatics, Sofia University, Sofia, Bulgaria

    Kalinka Kaloyanova

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  1. Kalinka Kaloyanova
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Correspondence to Kalinka Kaloyanova .

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Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. University of Coimbra, Coimbra, Portugal

    Paulo Rupino da Cunha

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Kaloyanova, K. (2019). Towards Integrations of Big Data Technology Components. In: Themistocleous, M., Rupino da Cunha, P. (eds) Information Systems. EMCIS 2018. Lecture Notes in Business Information Processing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-11395-7_11

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  • DOI: https://doi.org/10.1007/978-3-030-11395-7_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11394-0

  • Online ISBN: 978-3-030-11395-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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