Title :
Strategic Alignment of Cloud-Based Architectures for Big Data
Author :
Schmidt, R. ; Mohring, Michael
Author_Institution :
Bus. Inf. Syst., Aalen Univ., Aalen, Germany
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;
Conference_Titel :
Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2013 17th IEEE International
Conference_Location :
Vancouver, BC
DOI :
10.1109/EDOCW.2013.22