Druck auf Anfrage Neuware - Printed after ordering - This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field. N� de ref. del art�culo 9783319091761

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Detalles bibliogr�ficos

T�tulo: Modeling and Processing for Next-Generation ...

Editorial: Springer International Publishing

A�o de publicaci�n: 2014

Encuadernaci�n: Buch

Condici�n: Neu

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Sinopsis:

<P>THIS BOOK COVERS THE LATEST ADVANCES IN BIG DATA TECHNOLOGIES AND PROVIDES THE READERS WITH A COMPREHENSIVE REVIEW OF THE STATE-OF-THE-ART IN BIG DATA PROCESSING, ANALYSIS, ANALYTICS, AND OTHER RELATED TOPICS. IT PRESENTS NEW MODELS, ALGORITHMS, SOFTWARE SOLUTIONS AND METHODOLOGIES, COVERING THE FULL DATA CYCLE, FROM DATA GATHERING TO THEIR VISUALIZATION AND INTERACTION, AND INCLUDES A SET OF CASE STUDIES AND BEST PRACTICES. NEW RESEARCH ISSUES, CHALLENGES AND OPPORTUNITIES SHAPING THE FUTURE AGENDA IN THE FIELD OF BIG DATA ARE ALSO IDENTIFIED AND PRESENTED THROUGHOUT THE BOOK, WHICH IS INTENDED FOR RESEARCHERS, SCHOLARS, ADVANCED STUDENTS, SOFTWARE DEVELOPERS AND PRACTITIONERS WORKING AT THE FOREFRONT IN THEIR FIELD. </P><P>

Rese�a del editor:

This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering the full data cycle, from data gathering to their visualization and interaction, and includes a set of case studies and best practices. New research issues, challenges and opportunities shaping the future agenda in the field of Big Data are also identified and presented throughout the book, which is intended for researchers, scholars, advanced students, software developers and practitioners working at the forefront in their field.

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