Big data computing / edited by Rajendra Akerkar. Textual Documents
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- unmediated
- volume
- 9781466578371 (hardback)
- 23 005.745BIG BUS083000 COM021000 COM021030 BUS083000 COM021000 COM021030 BUS083000 COM021000 COM021030
- QA76.9.D3 B52796 2014
- BUS083000 | COM021000 | COM021030
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Dept. of Computer Science Processing Center | Dept. of Computer Science | 005.745BIG (Browse shelf(Opens below)) | 1 | Available | DCS4164 |
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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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