Volume II of this series discusses the technology used to implement a big data analysis capability within a service-oriented organization. It discusses the technical architecture necessary to implement a big data analysis capability, some issues and challenges in big data analysis and utilization that an organization will face, and how to capture value from it.
It will help readers understand what technology is required for a basic capability and what the expected benefits are from establishing a big data capability within their organization.
关于作者
William H. Money is associate professor at the Baker School of Business, The Citadel. His recent research interests focus on collaborative solutions to complex business problems; business process engineering, analytics; and information system development, collaboration, and methodologies. He has significant consulting experience in private organizations and the federal government.
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