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

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"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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Berman, Jules J. (Author)
Format: Electronic eBook
Language:Inglés
Published: Amsterdam : Elsevier, Morgan Kaufmann, [2013]
Subjects:
Big data.
Database management.
Donn�ees volumineuses.
Bases de donn�ees > Gestion.
COMPUTERS > Database Management > General.
COMPUTERS > Desktop Applications > Databases.
COMPUTERS > System Administration > Storage & Retrieval.
Big data
Database management
Online Access:Texto completo
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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