Principles of big data preparing, sharing, and analyzing complex information

Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changi...

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Bibliographic Details
Main Author Berman, Jules J.
Corporate Author Elsevier (firma)
Format eBook
LanguageEnglish
Published Amsterdam : Elsevier, Morgan Kaufmann, [2013]
Subjects
big data
data
analýza dat
data analysis
elektronické knihy
electronic books
Online AccessFull text
ISBN9780124047242
9780124045767
Physical Description1 online zdroj (xxvi, 261 p.)

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Table of Contents:
  • 1. Providing structure to unstructured data
  • 2. Identification, deidentification, and reidentification
  • 3. Ontologies and semantics
  • 4. Introspection
  • 5. Data integration and software interoperability
  • 6. Immutability and immortality
  • 7. Measurement
  • 8. Simple but powerful big data techniques
  • 9. Analysis
  • 10. Special considerations in big data analysis
  • 11. Stepwise approach to big data analysis
  • 12. Failure
  • 13. Legalities
  • 14. Societal issues
  • 15. The future.

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