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dc.contributor.authorHaller,Klaus
dc.contributor.editorDinter,Barbara
dc.contributor.editorWinter,Robert
dc.contributor.editorChamoni,Peter
dc.contributor.editorGronau,Norbert
dc.contributor.editorTurowski,Klaus
dc.date.accessioned2019-07-11T12:50:37Z
dc.date.available2019-07-11T12:50:37Z
dc.date.issued2008
dc.identifier.isbn978-3-88579-232-1
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/24071
dc.description.abstractWhen a bank implements a new core banking platform, it must simulta­neously migrate its data from the old platform into the new one. We identified three main dimensions for data migration. They make up the comers in our con­ceptual data migration project management framework: the data migration tri­angle. The first dimension demands scripts as deliverables, which actually trans­form and migrate the data. The second, and too often neglected, dimension is the delivery of data. lt requires that the scripts run together reliably and on time in a complex environment with many dependencies. Dimension three addresses quality assurance. We describe methods for checking whether all necessary data is mi­grated and whether the data is migrated correctly. In contrast to previous work, we focus on technical issues from a project manager's perspective. We explain what data migration project managers have to manage and why.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V., Bonn
dc.relation.ispartofDW2008
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-138
dc.titleData Migration Project Management and Standard Software - Experiences in A valoq Implementation Projectsen
mci.reference.pages391-406
mci.conference.sessiontitleIntegration und Integrationsmanagement
mci.conference.locationSt. Gallen, Switzerland
mci.conference.date27.-28. Oktober 2008


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