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978-981-10-8675-5 |
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20191028151307.0 |
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180622s2018 si | s |||| 0|eng d |
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|a 9789811086755
|9 978-981-10-8675-5
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|a 10.1007/978-981-10-8675-5
|2 doi
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|a Upadhyay, Nitin.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a CABology: Value of Cloud, Analytics and Big Data Trio Wave
|h [electronic resource] /
|c by Nitin Upadhyay.
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| 250 |
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|a 1st ed. 2018.
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2018.
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| 300 |
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|a XIX, 151 p. 44 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a 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. .
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|a 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.
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|a Big data.
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| 650 |
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|a Application software.
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| 650 |
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|a Mathematical statistics.
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|a Big Data.
|0 http://scigraph.springernature.com/things/product-market-codes/I29120
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| 650 |
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|a Information Systems Applications (incl. Internet).
|0 http://scigraph.springernature.com/things/product-market-codes/I18040
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| 650 |
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|a Big Data/Analytics.
|0 http://scigraph.springernature.com/things/product-market-codes/522070
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| 650 |
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|a Probability and Statistics in Computer Science.
|0 http://scigraph.springernature.com/things/product-market-codes/I17036
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9789811086748
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| 776 |
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|i Printed edition:
|z 9789811086762
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|i Printed edition:
|z 9789811342110
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| 856 |
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|u https://doi.org/10.1007/978-981-10-8675-5
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
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