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

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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 a...

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Bibliographic Details
Online Access: Full Text (via Skillsoft)
Main Author: Pries, Kim H., 1955-
Other Authors: Dunnigan, Robert
Format: Electronic eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2015.
Subjects:
Management > Statistical methods.
Management > Data processing.
Big data.
Data mining.
Database management.
Business > Data processing.
Business > Data processing
Big data
Data mining
Database management
Management > Data processing
Management > Statistical methods
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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