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Authors: Aniket Mohapatra 1 ; Kai Herrmann 2 ; Hannes Voigt 2 ; Simon Lüders 3 ; Tsvetan Tsokov 4 and Wolfgang Lehner 2

Affiliations: 1 Technische Universität Kaiserslautern, Germany, SAP SE, Walldorf and Germany ; 2 Technische Universität Dresden and Germany ; 3 SAP SE, Walldorf and Germany ; 4 SAP Labs Bulgaria EOOD, Sofia and Bulgaria

ISBN: 978-989-758-318-6

ISSN: 2184-285X

Keyword(s): Database, Schema Evolution, Migration, Seamless Deployment.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Data Management and Quality ; Modeling and Managing Large Data Systems ; Organizational Concepts and Best Practices

Abstract: We present DECA (Database Evolution in Cloud Applications), a framework that facilitates fast, robust, and agile database evolution in cloud applications. Successful business requires to react to changing wishes and requirements of customers instantly. In today’s realities, this often boils down to adding new features or fixing bugs in a software system. We focus on cloud application platforms that allow seamless development and deployment of applications by operating both the old and the new version in parallel for the time of development/deployment. This does not work if a common database is involved, since they cannot co-exist in multiple versions. To overcome this limitation, we apply current advances in the field of agile database evolution. DECA equips developers with an intuitive Database Evolution Language to create a new co-existing schema version for development and testing. Meanwhile, users can continuously use the old version. With the click of a button, we migrate the dat abase to the new version and move all the users without unpredictable downtime and without the risk of corrupting our data. So, DECA speeds up the evolution of information systems to the pace of modern business. (More)

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Paper citation in several formats:
Mohapatra, A.; Herrmann, K.; Voigt, H.; Lüders, S.; Tsokov, T. and Lehner, W. (2018). Seamless Database Evolution for Cloud Applications.In Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-318-6, ISSN 2184-285X, pages 197-207. DOI: 10.5220/0006845101970207

@conference{data18,
author={Aniket Mohapatra. and Kai Herrmann. and Hannes Voigt. and Simon Lüders. and Tsvetan Tsokov. and Wolfgang Lehner.},
title={Seamless Database Evolution for Cloud Applications},
booktitle={Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2018},
pages={197-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006845101970207},
isbn={978-989-758-318-6},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Seamless Database Evolution for Cloud Applications
SN - 978-989-758-318-6
AU - Mohapatra, A.
AU - Herrmann, K.
AU - Voigt, H.
AU - Lüders, S.
AU - Tsokov, T.
AU - Lehner, W.
PY - 2018
SP - 197
EP - 207
DO - 10.5220/0006845101970207

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