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Authors: Martin Boissier ; Jens Krueger ; Johannes Wust and Hasso Plattner

Affiliation: University of Potsdam, Germany

Keyword(s): Shearing Layers, Integrated Data Management, Enterprise Architectures.

Related Ontology Subjects/Areas/Topics: Databases and Information Systems Integration ; e-Business ; Enterprise Engineering ; Enterprise Information Systems ; Enterprise Resource Planning ; Enterprise Software Technologies ; Information Systems Analysis and Specification ; Modeling of Distributed Systems ; Simulation and Modeling ; Simulation Tools and Platforms ; Software Engineering

Abstract: Over past decades, higher demands on performance for enterprise systems have led to an increased architectural complexity. Demands as real-time analytics or graph computation add further complexity to the technology stack by adding redundancy and distributing business data over multiple components. We argue that enterprises need to simplify data management and reduce complexity as well as data redundancy. We propose a structured approach using the shearing layer concept with a unified data management to improve adaptability as well as maintainability.

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Paper citation in several formats:
Boissier, M.; Krueger, J.; Wust, J. and Plattner, H. (2014). An Integrated Data Management for Enterprise Systems. In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-029-1; ISSN 2184-4992, SciTePress, pages 410-418. DOI: 10.5220/0004897204100418

@conference{iceis14,
author={Martin Boissier. and Jens Krueger. and Johannes Wust. and Hasso Plattner.},
title={An Integrated Data Management for Enterprise Systems},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2014},
pages={410-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004897204100418},
isbn={978-989-758-029-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - An Integrated Data Management for Enterprise Systems
SN - 978-989-758-029-1
IS - 2184-4992
AU - Boissier, M.
AU - Krueger, J.
AU - Wust, J.
AU - Plattner, H.
PY - 2014
SP - 410
EP - 418
DO - 10.5220/0004897204100418
PB - SciTePress