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Big data analytics : a practical guide for managers /
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 a...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
2015.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Pries, Kim H., |d 1955- | |
| 245 | 1 | 0 | |a Big data analytics : |b a practical guide for managers / |c Kim H. Pries and Robert Dunnigan. |
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c 2015. | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |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. | |
| 520 | |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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Management |x Statistical methods. | |
| 650 | 0 | |a Management |x Data processing. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Business |x Data processing. | |
| 650 | 6 | |a Gestion |x Méthodes statistiques. | |
| 650 | 6 | |a Gestion |x Informatique. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industrial Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management Science. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Behavior. |2 bisacsh | |
| 650 | 7 | |a Business |x Data processing. |2 fast |0 (OCoLC)fst00842293 | |
| 650 | 7 | |a Big data. |2 fast |0 (OCoLC)fst01892965 | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Database management. |2 fast |0 (OCoLC)fst00888037 | |
| 650 | 7 | |a Management |x Data processing. |2 fast |0 (OCoLC)fst01007162 | |
| 650 | 7 | |a Management |x Statistical methods. |2 fast |0 (OCoLC)fst01007232 | |
| 700 | 1 | |a Dunnigan, Robert. | |
| 776 | 0 | 8 | |i Print version: |a Pries, Kim H., 1955- |t Big data analytics |z 9781482234510 |w (DLC) 2014040184 |w (OCoLC)893721614 |
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