| Description |
1 online resource |
| Bibliography |
Includes bibliographical references and index. |
| Contents |
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. |
| Summary |
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. |
| Subject |
Management -- Statistical methods.
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Management -- Data processing.
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Big data.
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Data mining.
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Database management.
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Business -- Data processing.
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Gestion -- Méthodes statistiques. |
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Gestion -- Informatique. |
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Données volumineuses. |
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Exploration de données (Informatique) |
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Bases de données -- Gestion. |
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Business -- Data processing |
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Big data |
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Data mining |
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Database management |
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Management -- Data processing |
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Management -- Statistical methods |
| Added Author |
Dunnigan, Robert.
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| Other Form: |
Print version: Pries, Kim H., 1955- Big data analytics 9781482234510 (DLC) 2014040184 (OCoLC)893721614 |
| ISBN |
9781482234527 (electronic bk.) |
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1482234521 (electronic bk.) |
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