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[message] Brief Description [PDF] Principles of Big Data Free Download by Jules J. Berman | Publisher : Morgan Kaufmann | Category : Compute...

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      • [PDF] Principles of Big Data Free Download by Jules J. Berman | Publisher : Morgan Kaufmann | Category : Computers & Internet | Tags : Design, Analysis, Distribution, Integration, Testing, Software | ISBN-10 : 0124045766 | ISBN-13 : 9780124045767
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      • Principles of Big Data by Jules J. Berman, Publisher : Morgan Kaufmann
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      • Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information 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 changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.

        • Learn general methods for specifying Big Data in a way that is understandable to humans and to computers.
        • Avoid the pitfalls in Big Data design and analysis.
        • Understand how to create and use Big Data safely and responsibly with a set of laws, regulations and ethical standards that apply to the acquisition, distribution and integration of Big Data resources.

        Table of Contents

        Chapter 1. Big Data Moves to the Center of the Universe
        Chapter 2. Measurement
        Chapter 3. Annotation
        Chapter 4. Identification, De-identification, and Re-identification
        Chapter 5. Ontologies and Semantics: How information is endowed with meaning
        Chapter 6. Standards and their Versions
        Chapter 7. Legacy Data
        Chapter 8. Hypothesis Testing
        Chapter 9. Prediction
        Chapter 10. Software
        Chapter 11. Complexity
        Chapter 12. Vulnerabilities
        Chapter 13. Legalities
        Chapter 14. Social and Ethical Issues

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    • Book Details
      • Book Name : Principles of Big Data

        Edition : 1

        Author : Jules J. Berman

        Publisher : Morgan Kaufmann

        Category : Computers & Internet

        ISBN-10 : 0124045766

        ISBN-13 : 9780124045767

        ASIN : 0124045766

        Pages : 288

        Language : English

        Publish Date : June 13, 2013
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