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|a 005.7
|2 23
|
| 100 |
1 |
|
|a Thomas, Rob
|c (Information technology executive),
|e author.
|0 http://id.loc.gov/authorities/names/no2015043377
|
| 245 |
1 |
0 |
|a Big data revolution :
|b what farmers, doctors and insurance agents teach us about discovering big data patterns /
|c Rob Thomas, Patrick McSharry.
|
| 264 |
|
1 |
|a Chichester, West Sussex, United Kingdom :
|b John Wiley & Sons, Ltd.,
|c 2015.
|
| 300 |
|
|
|a xvi, 272 pages :
|b illustrations ;
|c 23 cm
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a unmediated
|b n
|2 rdamedia
|
| 338 |
|
|
|a volume
|b nc
|2 rdacarrier
|
| 500 |
|
|
|a Includes index.
|
| 505 |
0 |
|
|a Part I: The revolution starts now: 9 industries transforming with data. Transforming farms with data -- Why doctors will have math degrees -- Revolutionizing insurance: why actuaries will become data scientists -- Personalizing retail and fashion -- Transforming customer relationships with data -- Intelligent machines -- Government and society -- Corporate sustainability -- Weather and energy -- Part II: Leaning from pattens in big data. Pattern recognition -- Why patterns in big data have emerged -- Patterns in big data -- Part III: Leading the revolution. The data opportunity -- Porsche -- Puma -- A methodology for applying big data patterns -- Big data architecture -- Business view reference architecture -- Logical view reference architecture -- The architecture of the future.
|
| 520 |
|
|
|a Big Data can be a powerful tool for creating effective business solutions, but formulating and executing the right strategy requires a deep understanding of an increasingly complex subject. Big Data Revolution highlights the power, potential, and pitfalls of Big Data, providing the insight you need to improve business outcomes with innovation and the efficient use of technology. Companies are generating data faster than ever before, and that data can be leveraged to transform industries.
|
| 650 |
|
0 |
|a Big data.
|0 http://id.loc.gov/authorities/subjects/sh2012003227
|
| 650 |
|
0 |
|a Big data
|x Economic aspects.
|0 http://id.loc.gov/authorities/subjects/sh2012003227
|
| 650 |
|
0 |
|a Data mining.
|0 http://id.loc.gov/authorities/subjects/sh97002073
|
| 700 |
1 |
|
|a McSharry, Patrick,
|e author.
|0 http://id.loc.gov/authorities/names/nb2003049104
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|p Can Circulate
|a Michigan State University-Library of Michigan
|b Michigan State University
|c MSU Gast Business Library
|d MSU Gast Business Library
|t 0
|e QA76.9.B45 T46 2015
|h Library of Congress classification
|i Printed Material
|m 31293007286036
|n 1
|
