- AutorIn
- Prof. Dr.-Ing. Wolfgang Lehner Technische Universität Dresden, Fakultät Informatik, Institut für Systemarchitektur, Professur Datenbanken
- Titel
- Merging OLTP and OLAP
- Untertitel
- Back to the Future
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-822907
- Konferenz
- Enabling Real-Time Business Intelligence: Third International Workshop, BIRTE 2009. Lyon, 24.08.2009
- Quellenangabe
- Enabling Real-Time Business Intelligence : Third International Workshop, BIRTE 2009
Herausgeber: Malu Castellanos, Umeshwar Dayal, Renée J. Miller
Erscheinungsort: Berlin [u. a.]
Verlag: Springer
Erscheinungsjahr: 2010
Titel Schriftenreihe: Lecture Notes in Business Information Processing
Bandnummer Schriftenreihe: 41
Seiten: 171-173
ISBN: 978-3-642-14558-2 - Erstveröffentlichung
- 2009
- Abstract (EN)
- When the terms “Data Warehousing” and “Online Analytical Processing” were coined in the 1990s by Kimball, Codd, and others, there was an obvious need for separating data and workload for operational transactional-style processing and decision-making implying complex analytical queries over large and historic data sets. Large data warehouse infrastructures have been set up to cope with the special requirements of analytical query answering for multiple reasons: For example, analytical thinking heavily relies on predefined navigation paths to guide the user through the data set and to provide different views on different aggregation levels.Multi-dimensional queries exploiting hierarchically structured dimensions lead to complex star queries at a relational backend, which could hardly be handled by classical relational systems. [Off: Introduction]
- Andere Ausgabe
- Link zum Artikel, der zuerst bei Springer Link erschienen ist
DOI: 10.1007/978-3-642-14559-9_11 - Freie Schlagwörter (DE)
- Data-Warehouse-Infrastrukturen, Online Analytical Processing, komplexe analytische Abfragen, komplexe Sternabfragen
- Freie Schlagwörter (EN)
- Data-Warehouse-Infrastrukturen, Online Analytical Processing, complex analytical queries, complex star queries
- Klassifikation (DDC)
- 004
- Verlag
- Springer, Berlin [u. a.]
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-822907
- Veröffentlichungsdatum Qucosa
- 13.01.2023
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis