Managing Big Data Integration in the Public Sector

Managing Big Data Integration in the Public Sector

Anil Aggarwal (University of Baltimore, USA)
Indexed In: SCOPUS
Release Date: November, 2015|Copyright: © 2016 |Pages: 337
DOI: 10.4018/978-1-4666-9649-5
ISBN13: 9781466696495|ISBN10: 1466696494|EISBN13: 9781466696501
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Description & Coverage
Description:

The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a better understanding of how to collect and manage such large data sets, it becomes increasingly difficult to successfully utilize them.

Managing Big Data Integration in the Public Sector is a pivotal reference source for the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. Highlighting issues surrounding data management, current models, and real-world applications, this book is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere.

Coverage:

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

  • Clinical Decision Support
  • Cloud Interoperability
  • Cyber Security
  • Data Acquisition and Recovery
  • Disaster Communications
  • Healthcare Applications
  • Systems Development
Reviews and Testimonials

This volume explores the management of big data integration with cloud platforms and how business analytics can be used to provide opportunities for decision makers in public sectors like government agencies, hospitals, cities, and states. It considers issues, models, and techniques for big data systems, including the interoperability of US federal government information, big data systems development, transparency and enhanced efficiency and accountability due to big data adoption, and cloud interoperability.

– ProtoView Reviews
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Editor/Author Biographies
Anil K. Aggarwal is a Professor in the Merrick School of Business at the University of Baltimore. Dr. Aggarwal is Fulbright scholar and held Lockheed Martin Research and BGE Chair at the University of Baltimore. He has published in many journals, includingComputers and Operations Research, Decision Sciences, Information and Management, Production and Operation Management, e-Service, Decision Sciences - Journal of Innovative Education, Journal of Information Technology Education: Innovations in Practice, Total Quality Management & Business Excellence, eService, International Journal of Web-Based Learning and Teaching Technologies and Journal of EUC and many national and international professional proceedings. He has published three edited books web-based education (2) and one on cloud computing. His current research interests include web-based education, business ethics, big data, virtual team collaboration and cloud computing.
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