Big data analytics

Big data analytics: a practical guide for managers

by Pries, Kim H.

Type Book
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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.

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Title Statements

  • Full title :Big data analytics : a practical guide for managers / Kim H. Pries and Robert Dunnigan.

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.

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Edition Statements

  • Publication Date:©2015

Publication Statements

  • Publisher(s):CRC Press
  • Place of Publication:Boca Raton, FL
  • Language:eng
  • Publication Date:©2015

The Physical Object

  • Description:1 online resource

Edition Identifiers

  • ISBN:9781482234527, 1482234521
  • oclc:ocn903645965
  • LC Classification:HD30.215
  • Dewey Decimal:658/.0557

Table of 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.

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Subjects

Bases de données -- Gestion Big data Business -- Data processing BUSINESS & ECONOMICS -- Industrial Mana… Business & Economics -- Management BUSINESS & ECONOMICS -- Management Scie… BUSINESS & ECONOMICS -- Organizational … Data Mining Database management Données volumineuses Exploration de données (Informatique) Gestion -- Informatique Gestion -- Méthodes statistiques Management -- Data processing Management -- Statistical methods

Writers

Pries, Kim H. Dunnigan, Robert

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