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Big data : a business and legal guide / James R. Kalyvas, Michael R. Overly.

By: Contributor(s): Material type: TextTextPublisher: Boca Raton. FL : CRC Press, 2015Description: xxv, 217 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781466592377
  • 1466592370
Subject(s): LOC classification:
  • kpm KF390.5.C6 K14 2015
Incomplete contents:
A big data primer for executives -- Overview of information security and compliance: seeing the forest for the trees -- Information security in vendor -- Privacy and big data -- Federal and State data privacy laws and their implications for the creation and use of health information databases -- Big data and risk assessment -- Licensing big data -- The antitrust laws and big data -- The impact of big data on insureds, insurance coverage, and insurers -- Using bib data to manage human resources -- Big data discovery.
Summary: "Enabling readers to quickly implement solutions with respect to collecting, licensing, handling, and using Big Data, this book provides business people and lawyers with an accessible handbook primer on Big Data and its business implications. All contributors are nationally recognized experts in their fields and each chapter focuses on a different legal issue or risk relating to Big Data. More than a theoretical assessment of issues, the book offers busy people with the means to quickly understand relevant issues and implement specific recommendations to mitigate identified risks. "-- Provided by publisher.Summary: "Enabling readers to quickly implement solutions with respect to collecting, licensing, handling, and using Big Data, this book provides business people and lawyers with an accessible handbook primer on Big Data and its business implications. All contributors are nationally recognized experts in their fields and each chapter focuses on a different legal issue or risk relating to Big Data. More than a theoretical assessment of issues, the book offers busy people with the means to quickly understand relevant issues and implement specific recommendations to mitigate identified risks"-- Provided by publisher.
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Holdings
Item type Current library Call number Status Date due Barcode
Books - Printed PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH kpm KF390.5.C6 K14 2015 (Browse shelf(Opens below)) Available SF0002048

"Enabling readers to quickly implement solutions with respect to collecting, licensing, handling, and using Big Data, this book provides business people and lawyers with an accessible handbook primer on Big Data and its business implications. All contributors are nationally recognized experts in their fields and each chapter focuses on a different legal issue or risk relating to Big Data. More than a theoretical assessment of issues, the book offers busy people with the means to quickly understand relevant issues and implement specific recommendations to mitigate identified risks. "-- Provided by publisher.

"Enabling readers to quickly implement solutions with respect to collecting, licensing, handling, and using Big Data, this book provides business people and lawyers with an accessible handbook primer on Big Data and its business implications. All contributors are nationally recognized experts in their fields and each chapter focuses on a different legal issue or risk relating to Big Data. More than a theoretical assessment of issues, the book offers busy people with the means to quickly understand relevant issues and implement specific recommendations to mitigate identified risks"-- Provided by publisher.

Includes bibliographical references and index.

A big data primer for executives -- Overview of information security and compliance: seeing the forest for the trees -- Information security in vendor -- Privacy and big data -- Federal and State data privacy laws and their implications for the creation and use of health information databases -- Big data and risk assessment -- Licensing big data -- The antitrust laws and big data -- The impact of big data on insureds, insurance coverage, and insurers -- Using bib data to manage human resources -- Big data discovery.

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