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Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications

Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications

Copyright: © 2017 |Pages: 430
ISBN13: 9781522520139|ISBN10: 1522520139|EISBN13: 9781522520146
DOI: 10.4018/978-1-5225-2013-9
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MLA

Kamila, Narendra Kumar, editor. Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2013-9

APA

Kamila, N. K. (Ed.). (2017). Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications. IGI Global. https://doi.org/10.4018/978-1-5225-2013-9

Chicago

Kamila, Narendra Kumar, ed. Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2013-9

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Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption.

Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Data Mining and Database Management (ADMDM) Book Series
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Editorial Advisory Board
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Foreword
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Preface
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Acknowledgment
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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