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210123 ||| eng |
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|a 9781482234527
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4 |
|a HD30.215
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| 100 |
1 |
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|a Pries, Kim H.
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|a Big data analytics
|b a practical guide for managers
|c Kim H. Pries and Robert Dunnigan
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| 260 |
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|a Boca Raton, FL
|b CRC Press
|c 2015
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| 300 |
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|a 1 online resource
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|a Includes bibliographical references and index
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|a Chapter 1. Introduction -- chapter 2. The mother of invention's triplets : Moore's law, the proliferation of data, and data storage technology -- chapter 3. Hadoop -- chapter 4. HBase and other big data databases -- chapter 5. Machine learning -- chapter 6. Statistics -- chapter 7. Google -- chapter 8. Geographic information systems (GIS) -- chapter 9. Discovery -- chapter 10. Data quality -- chapter 11. Benefits -- chapter 12. Concerns -- chapter 13. Epilogue
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| 653 |
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|a Management / Statistical methods
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| 653 |
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|a Data mining / fast
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| 653 |
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|a Big data / fast
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| 653 |
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|a BUSINESS & ECONOMICS / Management Science / bisacsh
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| 653 |
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|a Gestion / Informatique
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| 653 |
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|a Big data / http://id.loc.gov/authorities/subjects/sh2012003227
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| 653 |
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|a Gestion / Méthodes statistiques
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| 653 |
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|a Bases de données / Gestion
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| 653 |
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|a Management / Data processing / fast
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| 653 |
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|a Management / Data processing / http://id.loc.gov/authorities/subjects/sh85080339
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| 653 |
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|a BUSINESS & ECONOMICS / Management / bisacsh
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| 653 |
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|a BUSINESS & ECONOMICS / Organizational Behavior / bisacsh
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| 653 |
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|a Données volumineuses
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| 653 |
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|a Business / Data processing / http://id.loc.gov/authorities/subjects/sh85018264
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| 653 |
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|a Database management / http://id.loc.gov/authorities/subjects/sh85035848
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| 653 |
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|a Business / Data processing / fast
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| 653 |
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|a Data mining / http://id.loc.gov/authorities/subjects/sh97002073
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| 653 |
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|a Management / Statistical methods / fast
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| 653 |
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|a Exploration de données (Informatique)
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| 653 |
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|a Database management / fast
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| 653 |
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|a BUSINESS & ECONOMICS / Industrial Management / bisacsh
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| 700 |
1 |
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|a Dunnigan, Robert
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 1482234521
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| 776 |
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|z 1482234513
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| 776 |
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|z 9781482234527
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| 776 |
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|z 9781482234510
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| 856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781482234510/?ar
|x Verlag
|3 Volltext
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|a 658
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|a 658/.0557
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|a 500
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|a 302.3
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|a 670
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|a 300
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|a 330
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| 520 |
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|a Covering prominent software packages, including Hadoop, Oracle Endeca, and SAP HANA, this book demonstrates the utility and promise of these applications. It also demonstrates the need to understand data quality and the ability of statistics to mislead when due rigor is not applied. As the authors are both ASQ-certified Six Sigma Black Belts, they demonstrate how common statistical tools and investigative methodologies can mitigate risks that arise from limitations in the data
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