Handbook of Research on Big Data Storage and Visualization Techniques (2 Volumes): 9781522531425: Computer Science & IT Books

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781522531425

EISBN13: 9781522531432

DOI: 10.4018/978-1-5225-3142-5

Description:

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data.

The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Analytics
Architecture Patterns
Clouds and Clusters
Computational Business Intelligence
Computational Energy
Programming Systems
Technologies

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Dr. Richard S. Segall is Professor of Information Systems and Business Analytics in Neil Griffin College of Business at Arkansas State University in Jonesboro, AR where he also taught for ten years in the College of Engineering & Computer Science Master of Engineering Management (MEM) Program and is Affiliated Faculty of the Environmental Sciences Program and Center for No-Boundary Thinking (CNBT). He is also an Affiliated Faculty at the University of Arkansas at Little Rock (UALR) where he serves on thesis committees. His research interests include data mining, text mining, web mining, database management, Big Data, and mathematical modeling. His research has been funded by National Research Council (NRC), U.S. Air Force (USAF), National Aeronautical and Space Administration (NASA), Arkansas Biosciences Institute (ABI), and Arkansas Science & Technology Authority (ASTA). His publications have appeared in IGI Global journals of: International Journal of Fog Computing (IJFC), International Journal of Open Source Software and Processes (IJOSP), and International Journal of Big Data and Analytics in Healthcare (IJBDAH). He is also a member of the Editorial Review Board for the International Journal of Fog Computing (IJFC).

Jeffrey S. Cook lives in Jonesboro, Arkansas, where he is an entrepreneur in computer technology. He contributed a chapter entitled “Supercomputers and Supercomputing” in Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications edited by Qingyu Zhang, Richard Segall, and Mei Cao that was published by IGI Global in 2011. He worked as a BetaTester for the Microsoft Corporation in the development of Windows 2000 and Windows XP. Cook spent 9 years in the United States Army where he specialized in nuclear, biological, and chemical warfare agents as well as computer systems and foreign languages. He currently holds a patent in Aerospace-design that was adopted by Boeing Aerospace Corporation along with several other patents pertaining to software development. He is also a research writer who has published several books through McGraw-Hill College Division and Vantage Press. He has served for 6 years on the Republican National Committee (RNC) of The United States House of Representatives. Jeffrey S. Cook is listed in Cambridge’s book of Who’s Who for influential people.

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