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...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2015
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781482234510/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes bibliographical references and index. - Print version record |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781482234527 1482234521 9781482234510 |
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| spelling | Pries, Kim H. 1955- VerfasserIn aut Big data analytics a practical guide for managers Kim H. Pries and Robert Dunnigan Boca Raton, FL CRC Press 2015 ©2015 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record 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. Management Statistical methods Management Data processing Big data Data mining Database management Business Data processing Gestion ; Méthodes statistiques Gestion ; Informatique Données volumineuses Exploration de données (Informatique) Bases de données ; Gestion BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Business ; Data processing Management ; Data processing Management ; Statistical methods Dunnigan, Robert MitwirkendeR ctb 9781482234510 Erscheint auch als Druck-Ausgabe 9781482234510 |
| spellingShingle | Pries, Kim H. 1955- Big data analytics a practical guide for managers Management Statistical methods Management Data processing Big data Data mining Database management Business Data processing Gestion ; Méthodes statistiques Gestion ; Informatique Données volumineuses Exploration de données (Informatique) Bases de données ; Gestion BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Business ; Data processing Management ; Data processing Management ; Statistical methods |
| title | Big data analytics a practical guide for managers |
| title_auth | Big data analytics a practical guide for managers |
| title_exact_search | Big data analytics a practical guide for managers |
| title_full | Big data analytics a practical guide for managers Kim H. Pries and Robert Dunnigan |
| title_fullStr | Big data analytics a practical guide for managers Kim H. Pries and Robert Dunnigan |
| title_full_unstemmed | Big data analytics a practical guide for managers Kim H. Pries and Robert Dunnigan |
| title_short | Big data analytics |
| title_sort | big data analytics a practical guide for managers |
| title_sub | a practical guide for managers |
| topic | Management Statistical methods Management Data processing Big data Data mining Database management Business Data processing Gestion ; Méthodes statistiques Gestion ; Informatique Données volumineuses Exploration de données (Informatique) Bases de données ; Gestion BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Business ; Data processing Management ; Data processing Management ; Statistical methods |
| topic_facet | Management Statistical methods Management Data processing Big data Data mining Database management Business Data processing Gestion ; Méthodes statistiques Gestion ; Informatique Données volumineuses Exploration de données (Informatique) Bases de données ; Gestion BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Business ; Data processing Management ; Data processing Management ; Statistical methods |
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