Big data and cloud computing for development : lessons from key industries and economies in the global south
By: Kshetri, Nir
Title By: Fredriksson, Torbjorn | Rojas Torres, Diana CarolinaMaterial type: BookPublisher: New York, NY : Routledge, c2017.Description: xv, 223 p. : ill. ; 24 cm.ISBN: 9781138689053Subject(s): Information technology -- Economic aspects -- Developing countries | Big data | Cloud computing | Economic development -- Developing countriesDDC classification: 338.90028557 KS BI
|Item type||Home library||Call number||Status||Date due||Barcode||Item holds|
|REGULAR||University of Wollongong in Dubai Main Collection||338.90028557 KS BI (Browse shelf)||Available||T0056557|
, Shelving location: Main Collection Close shelf browser
|338.9001 BA EC Economic growth /||338.90015195 BO MI Microeconomics :||338.900285 PO EC Economic development & GIS /||338.90028557 KS BI Big data and cloud computing for development :||338.90068 NE WD The new development management : critiquing the dual modernization /||338.900681 PR IN The principles of project finance /||338.90072 LA RE Research for development : a practical guide /|
Pt. I. Big data and cloud computing in the global south : key concepts, issues, opportunities, and challenges --
pt. II. Big data and cloud computing in key development areas in the global south --
pt. III. Case studies of diffusion and impact of BD and cloud computing in major economies in the global south --
pt. IV. Lessons learned, implications, and the way forward.
This book provides a framework for evaluating big data and cloud computing based on how they evolve to fit users’ needs in developing countries in key areas, such as agriculture and education. The authors discuss how this framework can be utilized by businesses, governments, and consumers to accelerate economic growth and overcome information and communication barriers.
By examining the ways in which cloud computing can drive social, economic, and environmental transformation, readers gain a nuanced understanding of the opportunities and challenges these technologies offer. The authors also provide an authoritative and up-to-date account of big data’s diffusion into a wide range of developing economies, such as Brazil and China, illustrating key concepts through in-depth case studies. Special attention is paid to economic development in the context of the new Sustainable Development Goals formulated by the United Nations, introducing readers to the most modern standard of economic evaluation.