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
General
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