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Big data computing / edited by Rajendra Akerkar. Textual Documents

Contributor(s): Material type: TextTextLanguage: English Publisher: Boca Raton : CRC Press, [2014]Description: xxii, 542 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781466578371 (hardback)
Subject(s): DDC classification:
  • 23 005.745BIG BUS083000 COM021000 COM021030 BUS083000 COM021000 COM021030 BUS083000 COM021000 COM021030
LOC classification:
  • QA76.9.D3 B52796 2014
Other classification:
  • BUS083000 | COM021000 | COM021030
Summary: "Preface In the international marketplace, businesses, suppliers, and customers do create and consume vast amounts of information. Gartner* predicts that enterprise data in all forms will grow up to 650% over the next five years. According to IDC,Summary: "To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications. In addition, the book balances between academic and industry contributions"-- Provided by publisher.
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Includes bibliographical references and index.

"Preface In the international marketplace, businesses, suppliers, and customers do create and consume vast amounts of information. Gartner* predicts that enterprise data in all forms will grow up to 650% over the next five years. According to IDC,

"To tackle the challenges of Big Data, novel approaches and tools have emerged. Moreover, the technology required for big-data computing is developing at a satisfactory rate due to market forces and technological evolution. This book presents a mix of theory and industry cases that discuss the technical and practical issues related to Big Data in intelligent information management. It emphasizes the adoption and diffusion of Big Data tools and technologies in real practical applications. In addition, the book balances between academic and industry contributions"-- Provided by publisher.

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