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Toward Model-Based Big Data-as-a-Service: The TOREADOR Approach

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Advances in Databases and Information Systems (ADBIS 2017)

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Abstract

The full potential of Big Data Analytics (BDA) can be unleashed only by overcoming hurdles like the high architectural complexity and lack of transparency of Big Data toolkits, as well as the high cost and lack of legal clearance of data collection, access and processing procedures. We first discuss the notion of Big Data Analytics-as-a-Service (BDAaaS) to help potential users of BDA in overcoming such hurdles. We then present TOREADOR, a first approach to BDAaaS.

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Notes

  1. 1.

    Again, the order of the stages depends on the specific BDA and is decided by the user.

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Acknowledgements

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the TOREADOR project, grant agreement No. 688797. It was also partly supported by the program “piano sostegno alla ricerca 2016” funded by Università degli Studi di Milano.

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Authors and Affiliations

  1. Consorzio Interuniversitario Nazionale per l’Informatica, Rome, Italy

    Ernesto Damiani, Claudio Ardagna, Paolo Ceravolo & Nello Scarabottolo

  2. EBTIC/Khalifa University of Science and Technology, Abu Dhabi, UAE

    Ernesto Damiani

  3. Università degli Studi di Milano, Milan, Italy

    Claudio Ardagna, Paolo Ceravolo & Nello Scarabottolo

Authors
  1. Ernesto Damiani
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  2. Claudio Ardagna
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  3. Paolo Ceravolo
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  4. Nello Scarabottolo
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Corresponding author

Correspondence to Ernesto Damiani .

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Editors and Affiliations

  1. Riga Technical University , Riga, Latvia

    Mārīte Kirikova

  2. Norwegian University of Science and Technology, Trondheim, Norway

    Kjetil Nørvåg

  3. University of Cyprus , Nicosia, Cyprus

    George A. Papadopoulos

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Damiani, E., Ardagna, C., Ceravolo, P., Scarabottolo, N. (2017). Toward Model-Based Big Data-as-a-Service: The TOREADOR Approach. In: Kirikova, M., Nørvåg, K., Papadopoulos, G. (eds) Advances in Databases and Information Systems. ADBIS 2017. Lecture Notes in Computer Science(), vol 10509. Springer, Cham. https://doi.org/10.1007/978-3-319-66917-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-66917-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66916-8

  • Online ISBN: 978-3-319-66917-5

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