Big data computing / edited by Rajendra Akerkar.

Contributor(s):

Akerkar, Rajendra

Material type: Text

TextDescription: xxii, 542 pages : illustrations ; 25 cmISBN:

9781466578371

Subject(s):

DDC classification:

006.312 23 Bi

LOC classification:

QA76.9.D3 B52796 2014

Other classification:

BUS083000 | COM021000 | COM021030

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"--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,

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Bahrain ITC-ARI	Computer Studies	006.312 Bi (Browse shelf(Opens below))	Available		3000000037

Includes bibliographical references and index.

"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"--

"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,

The online book link:

https://www.amazon.com/Big-Data-Computing-Rajendra-Akerkar-ebook/dp/B00OD41A8U/ref=sr_1_1?dchild=1&keywords=9781466578371&qid=1612785366&sr=8-1

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