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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pries, Kim H., 1955-
Otros Autores: Dunnigan, Robert
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, 2015.
Temas:
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.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9781482234527
1482234521

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