Paper Info
Title
Strategic Alignment of Cloud-Based Architectures for Big Data
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.
Year
DOI
Venue
2013
10.1109/EDOCW.2013.22
EDOC Workshops
Keywords
Field
DocType
different way,different strategic enterprise goal,big data,big data application,strategic alignment,it department,cloud-based architectures,cloud service,strategic goal,premise installation,significant topic,cloud computing,competitive intelligence
Data science,Competitive intelligence,Data architecture,Data mining,Strategic alignment,Enterprise architecture,Computer science,Knowledge management,Premise,Data virtualization,Big data,Cloud computing
Conference
ISSN
Citations 
PageRank 
2325-6583
8
0.74
References 
Authors
0
2
Name
Order
Citations
PageRank
Rainer Schmidt127429.67
Michael Möhring214726.50