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Challenging Big Data Engineering: Positioning of Current and Future Development

Topics: Big Data Algorithm, Methodology, Business Models and Challenges; Big Data fundamentals - Services Computing, Techniques, Recommendations and Frameworks; Data Management for Large Data; Future of IoT and Big Data; Modern Architecture; System Design and Architecture; Volume, Velocity, Variety and Veracity; Volume, Velocity, Variety, Veracity and Value

Authors: Matthias Volk ; Daniel Staegemann ; Matthias Pohl and Klaus Turowski

Affiliation: Magdeburg Research and Competence Cluster Very Large Business Applications, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg and Germany

Keyword(s): Big Data, Engineering, Technology Selection, Decision Support System.

Abstract: This contribution examines the terms of big data and big data engineering, considering the specific characteristics and challenges. Deduced by those, it concludes the need for new ways to support the creation of corresponding systems to help big data in reaching its full potential. In the following, the state of the art is analysed and subdomains in the engineering of big data solutions are presented. In the end, a possible concept for filling the identified gap is proposed and future perspectives are highlighted.

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Paper citation in several formats:
Volk, M.; Staegemann, D.; Pohl, M. and Turowski, K. (2019). Challenging Big Data Engineering: Positioning of Current and Future Development. In Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-369-8; ISSN 2184-4976, SciTePress, pages 351-358. DOI: 10.5220/0007748803510358

@conference{iotbds19,
author={Matthias Volk. and Daniel Staegemann. and Matthias Pohl. and Klaus Turowski.},
title={Challenging Big Data Engineering: Positioning of Current and Future Development},
booktitle={Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2019},
pages={351-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007748803510358},
isbn={978-989-758-369-8},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Challenging Big Data Engineering: Positioning of Current and Future Development
SN - 978-989-758-369-8
IS - 2184-4976
AU - Volk, M.
AU - Staegemann, D.
AU - Pohl, M.
AU - Turowski, K.
PY - 2019
SP - 351
EP - 358
DO - 10.5220/0007748803510358
PB - SciTePress

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