The GOBIA method: Towards goal-oriented business intelligence architectures
Zusammenfassung
Traditional Data Warehouse (DWH) architectures are challenged by numerous novel Big Data products. These tools are typically presented as alternatives or extensions for one or more of the layers of a typical DWH reference architecture. Still, there is no established joint reference architecture for both DWH and Big Data that is inherently aligned with business goals as implied by Business Intelligence (BI) projects. In this paper, a work-in-progress approach towards such custom BI architectures, the GOBIA method, is presented to address this gap, combining a BI reference architecture and a development process.
Schlüsselwörter
Business Intelligence Architectures; Data Warehousing; Big Data; GOBIA
Zitieren als
Fekete, D., & Vossen, G. (2015). The GOBIA method: Towards goal-oriented business intelligence architectures. In Bergmann, R., Görg, S., & Müller, G. (Eds.), Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB (pp. 409–418). Learning, Knowledge, Adaptation: Vol. 1458. Trier, Germany: CEUR-WS.Details
Publikationstyp
Forschungsartikel in Sammelband (Konferenz)
Begutachtet
Ja
Publikationsstatus
Veröffentlicht
Jahr
2015
Konferenz
Learning, Knowledge, Adaptation Workshops, LWA 2015: Knowledge Discovery, Data Mining and Machine Learning, KDML 2015, Knowledge Management, FGWM 2015, Information Retrieval, IR 2015 and Database Systems, FGDB 2015
Konferenzort
Trier, Deutschland
Buchtitel
Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB
Herausgeber
Bergmann R., Görg S., Müller G.
Erste Seite
409
Letzte Seite
418
Band
1458
Reihe
Learning, Knowledge, Adaptation
Verlag
CEUR-WS
Ort
Trier, Germany
Sprache
Englisch
ISSN
1613-0073
Gesamter Text