Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 14 of 0
Back to Result List

Master Data Taxonomy - A systematic approach to assess and migrate master data

  • This paper describes a taxonomy which allows to assess and compare different implementations of master data objects. A systematic breakdown of core entities provides a framework to tell apart four subdividing categories of master data objects: independent and dependent objects, relational objects, and reference objects that serve to attribute information. This supports the preparation of dataThis paper describes a taxonomy which allows to assess and compare different implementations of master data objects. A systematic breakdown of core entities provides a framework to tell apart four subdividing categories of master data objects: independent and dependent objects, relational objects, and reference objects that serve to attribute information. This supports the preparation of data migrations from one system to another.show moreshow less

Download full text files

Export metadata

Statistics

frontdoor_oas
Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/5326
Bibliografische Angaben
Title (English):Master Data Taxonomy - A systematic approach to assess and migrate master data
Conference:2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 21-23 June 2021, Cardiff, United Kingdom
Author:Matthias Knapp, Theo LutzStaff MemberORCiDGND
Year of Publication:2021
Publisher:IEEE
Page Number:8
First Page:1
Last Page:8
Parent Title (English):Conference Proceedings ICE/IEEE ITMC 2021
ISBN:978-1-6654-4963-2 (elektronisch)
ISBN:978-1-6654-4964-9 (Print on Demand)
ISSN:2693-8855 (elektronisch)
ISSN:2334-315X (Print on Demand)
DOI:https://doi.org/10.1109/ICE/ITMC52061.2021.9570250
Language:English
Inhaltliche Informationen
Institutes:Fakultät Wirtschaft (W)
Institutes:Bibliografie
Tag:business applications; data architecture; data migration; data model; master data; reference data; taxonomy
Formale Angaben
Open Access: Open Access 
 Grün 
Licence (German):License LogoUrheberrechtlich geschützt
Comment:
In OPUS: Akzeptierte Manuskriptversion lt. Zweitveröffentlichungsrecht