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Evolution and change in data management — issues and directions

Authors:

Lex WedemeijerAuthors Info & Claims

ACM SIGMOD Record, Volume 29, Issue 1

Pages 21 - 25

https://doi.org/10.1145/344788.344789

Published: 01 March 2000 Publication History

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Abstract

One of the fundamental aspects of information and database systems is that they change. Moreover, in so doing they evolve, although the manner and quality of this evolution is highly dependent on the mechanisms in place to handle it. While changes in data are handled well, changes in other aspects, such as structure, rules, constraints, the model, etc., are handled to varying levels of sophistication and completeness.

In order to study this in more detail a workshop on Evolution and Change in Data Management was held in Paris in November 1999. It brought together researchers from a wide range of disciplines with a common interest in handling the fundamental characteristics and the conceptual modelling of change in information and database systems. This short report of the workshop concentrates on some of the general lessons that emerged during the four days.

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Hashmi MGovernatori GLam HWynn M(2018)Are we done with business process complianceKnowledge and Information Systems10.1007/s10115-017-1142-157:1(79-133)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s10115-017-1142-1
Reschenhofer TBhat MHernandez-Mendez AMatthes FDillon LVisser WWilliams L(2016)Lessons learned in aligning data and model evolution in collaborative information systemsProceedings of the 38th International Conference on Software Engineering Companion10.1145/2889160.2889235(132-141)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2889160.2889235
Ralyté JOpprecht WLéonard M(2016)Defining the Responsibility Space for the Information Systems Evolution SteeringThe Practice of Enterprise Modeling10.1007/978-3-319-48393-1_13(179-193)Online publication date: 28-Oct-2016
https://doi.org/10.1007/978-3-319-48393-1_13
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Index Terms

Evolution and change in data management — issues and directions
1. Information systems
  1. Data management systems
    1. Database design and models

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Information

Published In

ACM SIGMOD Record Volume 29, Issue 1

March 2000

67 pages

ISSN:0163-5808

DOI:10.1145/344788

Editor:
Michael Franklin
Univ. of California, Berkeley, Berkeley

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 March 2000

Published in SIGMOD Volume 29, Issue 1

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Hashmi MGovernatori GLam HWynn M(2018)Are we done with business process complianceKnowledge and Information Systems10.1007/s10115-017-1142-157:1(79-133)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s10115-017-1142-1
Reschenhofer TBhat MHernandez-Mendez AMatthes FDillon LVisser WWilliams L(2016)Lessons learned in aligning data and model evolution in collaborative information systemsProceedings of the 38th International Conference on Software Engineering Companion10.1145/2889160.2889235(132-141)Online publication date: 14-May-2016
https://dl.acm.org/doi/10.1145/2889160.2889235
Ralyté JOpprecht WLéonard M(2016)Defining the Responsibility Space for the Information Systems Evolution SteeringThe Practice of Enterprise Modeling10.1007/978-3-319-48393-1_13(179-193)Online publication date: 28-Oct-2016
https://doi.org/10.1007/978-3-319-48393-1_13
McGinnes SKapros E(2015)Conceptual independenceInformation Systems10.1016/j.is.2014.06.00147:C(33-50)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1016/j.is.2014.06.001
Neamtiu IBardin JUddin MLin DBhattacharya PMehta BMamoulis NBhattacharya A(2013)Improving cloud availability with on-the-fly schema updatesProceedings of the 19th International Conference on Management of Data10.5555/2694476.2694487(24-34)Online publication date: 19-Dec-2013
https://dl.acm.org/doi/10.5555/2694476.2694487
Kapros EMcGinnes S(2013)Cognitive Semantic Categories as a Basis for a Prototype Adaptive Information SystemSemantic Models for Adaptive Interactive Systems10.1007/978-1-4471-5301-6_3(43-57)Online publication date: 2013
https://doi.org/10.1007/978-1-4471-5301-6_3
Papastefanatos GVassiliadis PSimitsis A(2011)Propagating evolution events in data-centric software artifactsProceedings of the 2011 IEEE 27th International Conference on Data Engineering Workshops10.1109/ICDEW.2011.5767629(162-167)Online publication date: 11-Apr-2011
https://dl.acm.org/doi/10.1109/ICDEW.2011.5767629
Papastefanatos GVassiliadis PSimitsis AVassiliou Y(2009)Policy-Regulated management of ETL evolutionJournal on Data Semantics XIII10.5555/2172259.2172265(147-177)Online publication date: 1-Jan-2009
https://dl.acm.org/doi/10.5555/2172259.2172265
Papastefanatos GVassiliadis PSimitsis AVassiliou Y(2009)Policy-Regulated Management of ETL EvolutionJournal on Data Semantics XIII10.1007/978-3-642-03098-7_6(147-177)Online publication date: 2009
https://doi.org/10.1007/978-3-642-03098-7_6
Voulalas GEvangelidis G(2008)Introducing a Change-Resistant Framework for the Development and Deployment of Evolving ApplicationsSoftware and Data Technologies10.1007/978-3-540-70621-2_24(293-306)Online publication date: 2008
https://doi.org/10.1007/978-3-540-70621-2_24
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Optimising schema evolution operation sequences in object databases for data evolution

Efficient and scalable data evolution with column oriented databases

Collateral evolution of applications and databases

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