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