Principles and Practice of Big Data Second Edition – Ebook PDF Instant Delivery – ISBN(s): 9780128156094,0128156090,9780128156100,0128156104
Product details:
- ISBN-10 : 0128156104
- ISBN-13 : 9780128156100
- Author: Jules J. Berman
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).
Table contents:
1. Introduction
2. Providing Structure to Unstructured Data
3. Identification, Deidentification, and Reidentification
4. Metadata, Semantics, and Triples5. Classifications and Ontologies
6. Introspection7. Data Integration and Software Interoperability
8. Immutability and Immortality9. Assessing the Adequacy of a Big Data Resource
10. Measurement11. 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
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