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作者 Upadhyay, Nitin, author
書名 CABology : value of cloud, analytics and big data trio wave / by Nitin Upadhyay
出版項 Singapore : Springer Singapore : Imprint: Springer, 2018
國際標準書號 9789811086755 (electronic bk.)
9789811086748 (paper)
國際標準號碼 10.1007/978-981-10-8675-5 doi
book jacket
說明 1 online resource (xix, 151 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
附註 Chapter 1. A Triology - Evolution and Now -- Chapter 2. CABology - What is in it? -- Chapter 3. CAB Framework - The Fabric -- Chapter 4. CABonomics - The True Value -- Chapter 5. CABevaluation - What is Right for Me? -- Chapter 6. CABfication - The Explanation -- Chapter 7. CAB Proposition - The Way Forward -- Chapter 8. CAB Implications - The Affairs -- Chapter 9. CAB Control - The Power -- Chapter 10. CAB Success Stories
This uniquely accessible book helps readers use CABology to solve real-world business problems and drive real competitive advantage. It provides reliable, concise information on the real benefits, usage and operationalization aspects of utilizing the "Trio Wave" of cloud, analytic and big data. Anyone who thinks that the game changing technology is slow paced needs to think again. This book opens readers' eyes to the fact that the dynamics of global technology and business are changing. Moreover, it argues that businesses must transform themselves in alignment with the Trio Wave if they want to survive and excel in the future. CABology focuses on the art and science of optimizing the business goals to deliver true value and benefits to the customer through cloud, analytic and big data. It offers business of all sizes a structured and comprehensive way of discovering the real benefits, usage and operationalization aspects of utilizing the Trio Wave
Host Item Springer eBooks
主題 Cloud computing
Big data
Data mining
Management information systems
Computer Science
Big Data
Information Systems Applications (incl. Internet)
Big Data/Analytics
Probability and Statistics in Computer Science
Alt Author SpringerLink (Online service)
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