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...
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| Hlavní autor: | |
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| Korporace: | |
| Médium: | E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam ; Boston ; Heidelberg ; London ; New York ; Oxford ; Paris ; San Diego ; San Francisco ; Singapore ; Sydney ; Tokyo :
Morgan Kaufmann is an imprint of Elsevier,
2013
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| Žánr/forma: | příručky elektronické knihy |
| ISBN: | 9780124047242 0124047246 978-0-12-404576-7 0-12-404576-6 |
| Témata: | |
| On-line přístup: | Plný text Plný text |
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| Jiná forma: | Tištěná verze |
Obsah:
- 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.