|
| Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt. |
Principles and Practice of Big Data
Preparing, Sharing, and Analyzing Complex Information
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780128156100
Veröffentl:
2018
Seiten:
480
Autor:
Jules J. Berman
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch
Beschreibung:
Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided).
1. Introduction 2. Providing Structure to Unstructured Data 3. Identification, Deidentification, and Reidentification 4. Metadata, Semantics, and Triples 5. Classifications and Ontologies 6. Introspection 7. Data Integration and Software Interoperability 8. Immutability and Immortality 9. Assessing the Adequacy of a Big Data Resource 10. Measurement 11. Indispensable Tips for Fast and Simple Big Data Analysis 12. Finding the Clues in Large Collections of Data 13. Using Random Numbers to Bring Your Big Data Analytic Problems Down to Size 14. Special Considerations in Big Data Analysis 15. Big Data Failures and How to Avoid (Some of) Them 16. Legalities 17. Data Sharing 18. Data Reanalysis: Much More Important than Analysis 19. Repurposing Big Data
Kunden Rezensionen
Mehr zum Thema
Folgen Sie uns auf:
