- AutorIn
- Wolfgang Lehner Technische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Professur Datenbanken#Universität Erlangen Nürnberg
- J. Albrecht
- H. Wedekind
- Titel
- Normal forms for multidimensional databases
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-787717
- Konferenz
- Tenth International Conference on Scientific and Statistical Database Management. Capri, 03.07.1998
- Quellenangabe
- Proceedings. Tenth International Conference on Scientific and Statistical Database Management
Erscheinungsort: New York, NY
Verlag: Institute of Electrical and Electronics Engineers incorporated (IEEE)
Erscheinungsjahr: 2002
Seiten: 63-73 - Erstveröffentlichung
- 2002
- Abstract (EN)
- In the area of online analytical processing (OLAP), the concept of multidimensional databases is receiving much popularity. Thus, a couple of different multidimensional data models were proposed from the research as well as from the commercial product side, each emphasizing different perspectives. However, very little work has been done investigating guidelines for good schema design within such a multidimensional data model. Based on a logical reconstruction of multidimensional schema design, this paper proposes two multidimensional normal forms. These normal forms define modeling constraints for summary attributes describing the cells within a multidimensional data cube and constraints to model complex dimensional structures appropriately. Multidimensional schemas compliant to these normal forms do not only ensure the validity of analytical computations on the multidimensional database, but also favor an efficient physical database design.
- Andere Ausgabe
- Link zum Artikel, der zuerst in der IEEE Xplore Digital Library erschienen ist:
DOI: 10.1109/SSDM.1998.688112 - Freie Schlagwörter (DE)
- Mehrdimensionale Systeme, Datenbank-Systeme, Statistische Auswertung, Wasser, Vorschläge, Relationale Datenbanken, Störungsbeseitigung, Navigation, Marketing und Vertrieb, Stürme
- Freie Schlagwörter (EN)
- Multidimensional systems, Database systems, Statistical analysis, Water, Proposals, Relational databases, Interference elimination, Navigation, Marketing and sales, Storms
- Klassifikation (DDC)
- 004
- Verlag
- IEEE, New York, NY
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-787717
- Veröffentlichungsdatum Qucosa
- 02.06.2022
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis