Modeling and Processing for Next-Generation Big-Data Technologies

Fatos Xhafa

ISBN 10: 3319385003 / ISBN 13: 9783319385006

Edité par Springer International Publishing, Springer International Publishing Sep 2016, 2016

A propos de cet article

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 536 pp. Englisch.

N° de réf. du vendeur 9783319385006

Détails bibliographiques

• Titre: Modeling and Processing for Next-Generation Big-Data Technologies
• Éditeur: Springer International Publishing, Springer International Publishing Sep 2016
• Date de parution: 2016
• Langue: anglais
• ISBN à 10 chiffres: 3319385003
• ISBN à 13 chiffres: 9783319385006
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 29 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 29 millimètres de profondeur
• Poids: 803 grammes

A propos de ce titre

Synopsis

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.