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Data Divination: Big Data Strategies 1st Edition

Pam Baker | Bob Gourley

  • Published

Overview

Our world is being transformed by big data. The growth of the Internet and the rapid expansion of mobile communications and related technologies have created a massive ¬ flow of data--both structured and unstructured. The availability and use of that data has enormous implications for businesses and for the wider society. DATA DIVINATION: BIG DATA STRATEGIES includes detailed instruction in big data strategy development and implementation, supported by numerous real-world business cases in ten distinct industries. You will learn what big data is and how to wield it--from calculating ROI and making a business case to developing overall and project-specific strategies that actually work.

Pam Baker,

Pam Baker is a noted business analyst, tech freelance journalist, and the editor of the online publication and e-newsletter, FierceBigData. She has written numerous books, and her journalism appears in a variety of publications, including Institutional Investor, CIO, and many more. A former analyst for VisionGain Research, headquartered in London, Baker has conducted and authored several notable market studies on technology, and she has served as a researcher, writer, and managing editor for ABI Research, headquartered in New York.

Bob Gourley,

Bob Gourley is the Editor-in-Chief of CTOvision.com and the founder and Chief Technology Officer of Crucial Point LLC, a technology research and advisory firm. Formerly, he was the first Director of Intelligence at the Department of Defense's cyber defense organization JTF-CND and served as the Chief Technology Officer of the Defense Intelligence Agency. Gourley has published more than 40 articles on a wide range of topics and is a contributor to the book Threats in the Age of Obama. His blog, CTOvision, is now ranked among the top federal technology blogs by WashingtonTech.
  • Covers detailed use cases in eight different industries.
  • Features information on choosing and using the “right” data sources.
  • Covers how to developing a winning big data strategy.