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.

Stephen H. Kaisler is consultant at SHK & Associates and adjunct professor of engineering at George Washington University. He has focused his efforts on Big Data and analytics, and enterprise architecture. He has published over 45 papers and 11 books on varied subjects such as Big Data and Historical Computing Machines.