DERM: A Reference Model for Data Engineering

Daniel Tebernum, Marcel Altendeitering, Falk Howar

2021

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.

Paper Citation

in Harvard Style

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 - Volume 1: DATA, ISBN 978-989-758-521-0, pages 165-175. DOI: 10.5220/0010517301650175

in Bibtex Style

@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 - Volume 1: DATA,},
year={2021},
pages={165-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010517301650175},
isbn={978-989-758-521-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - DERM: A Reference Model for Data Engineering
SN - 978-989-758-521-0
AU - Tebernum D.
AU - Altendeitering M.
AU - Howar F.
PY - 2021
SP - 165
EP - 175
DO - 10.5220/0010517301650175