DocumentCode
658483
Title
Strategic Alignment of Cloud-Based Architectures for Big Data
Author
Schmidt, R. ; Mohring, Michael
Author_Institution
Bus. Inf. Syst., Aalen Univ., Aalen, Germany
fYear
2013
fDate
9-13 Sept. 2013
Firstpage
136
Lastpage
143
Abstract
Big Data is an increasingly significant topic for management and IT departments. In the beginning, Big Data applications were large on premise installations. Today, cloud services are used increasingly to implement Big Data applications. This can be done on different ways supporting different strategic enterprise goals. Therefore, we develop a framework that enumerates the alternatives for implementing Big Data applications using cloud-services and identify the strategic goals supported by these Alternatives. The created framework clarifies the options for Big Data initiatives using cloud-computing and thus improves the strategic alignment of Big Data applications.
Keywords
Big Data; cloud computing; competitive intelligence; Big Data applications; business intelligence; cloud computing; cloud services; cloud-based architecture; strategic alignment; strategic enterprise goal; Computer architecture; Data handling; Data storage systems; Information management; Pipelines; Software; Alignment; Big Data; Enterprise Architecture;
fLanguage
English
Publisher
ieee
Conference_Titel
Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2013 17th IEEE International
Conference_Location
Vancouver, BC
Type
conf
DOI
10.1109/EDOCW.2013.22
Filename
6690544
Link To Document