Big data analytics : a practical guide for managers / Kim H. Pries and Robert Dunnigan.
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...
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Full Text (via Skillsoft) |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2015.
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| Subjects: |
MARC
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| 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 | |
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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. | ||
| 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 | 7 | |a Business |x Data processing |2 fast | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Management |x Data processing |2 fast | |
| 650 | 7 | |a Management |x Statistical methods |2 fast | |
| 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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