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Big Data Computing

Big Data Computing

ISBN 9781466578371
Publication Date
Publisher Chapman and Hall/CRC
Author(s)
Overview

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. 



Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches.  



Comprised of five sections, the book focuses on:







What Big Data is and why it is important

Semantic technologies

Tools and methods

Business and economic perspectives

Big Data applications across industries

Overview

Due to market forces and technological evolution, Big Data computing is developing at an increasing rate. A wide variety of novel approaches and tools have emerged to tackle the challenges of Big Data, creating both more opportunities and more challenges for students and professionals in the field of data computation and analysis. 



Presenting a mix of industry cases and theory, Big Data Computing discusses the technical and practical issues related to Big Data in intelligent information management. Emphasizing the adoption and diffusion of Big Data tools and technologies in industry, the book introduces a broad range of Big Data concepts, tools, and techniques. It covers a wide range of research, and provides comparisons between state-of-the-art approaches.  



Comprised of five sections, the book focuses on:







What Big Data is and why it is important

Semantic technologies

Tools and methods

Business and economic perspectives

Big Data applications across industries

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