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Authors: Daniel Tebernum 1 ; Marcel Altendeitering 1 and Falk Howar 2

Affiliations: 1 Data Business, Fraunhofer ISST, Emil-Figge-Strasse 91, 44227 Dortmund, Germany ; 2 Chair for Software Engineering, TU Dortmund University, Otto-Hahn-Strasse 12, 44227 Dortmund, Germany

Keyword(s): Reference Model, SLR, Data Lifecycle, Data Engineering, Research Map.

Abstract: Data forms an essential organizational asset and is a potential source for competitive advantages. To exploit these advantages, the engineering of data-intensive applications is becoming increasingly important. Yet, the professional development of such applications is still in its infancy and a practical engineering approach is necessary to reach the next maturity level. Therefore, resources and frameworks that bridge the gaps between theory and practice are required. In this study, we developed a data engineering reference model (DERM), which outlines the important building-blocks for handling data along the data lifecycle. For the creation of the model, we conducted a systematic literature review on data lifecycles to find commonalities between these models and derive an abstract meta-model. We successfully validated our model by matching it with established data engineering topics. Using the model derived six research gaps that need further attention for establishing a practically -grounded engineering process. Our model will furthermore contribute to a more profound development process within organizations and create a common ground for communication. (More)

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Paper citation in several formats:
Tebernum, D.; Altendeitering, M. and Howar, F. (2021). DERM: A Reference Model for Data Engineering. In Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-521-0; ISSN 2184-285X, SciTePress, pages 165-175. DOI: 10.5220/0010517301650175

@conference{data21,
author={Daniel Tebernum. and Marcel Altendeitering. and Falk Howar.},
title={DERM: A Reference Model for Data Engineering},
booktitle={Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA},
year={2021},
pages={165-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010517301650175},
isbn={978-989-758-521-0},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Data Science, Technology and Applications - DATA
TI - DERM: A Reference Model for Data Engineering
SN - 978-989-758-521-0
IS - 2184-285X
AU - Tebernum, D.
AU - Altendeitering, M.
AU - Howar, F.
PY - 2021
SP - 165
EP - 175
DO - 10.5220/0010517301650175
PB - SciTePress