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{ "item_title" : "Big-Data Analytics and Cloud Computing", "item_author" : [" Marcello Trovati", "Richard Hill", "Ashiq Anjum "], "item_description" : "This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/979/767/3319797670_b.jpg", "price_data" : { "retail_price" : "129.99", "online_price" : "129.99", "our_price" : "129.99", "club_price" : "129.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Big-Data Analytics and Cloud Computing|Marcello Trovati

Big-Data Analytics and Cloud Computing : Theory, Algorithms and Applications

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Overview

This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and industry are presented by an international selection of experts in big data science. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures; examines the applications and implementations that utilize big data in cloud architectures; surveys the state of the art in architectural approaches to the provision of cloud-based big data analytics functions; identifies potential research directions and technologies to facilitate the realization of emerging business models through big data approaches; provides relevant theoretical frameworks, empirical research findings, and numerous case studies; discusses real-world applications of algorithms and techniques to address the challenges of big datasets.

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Details

  • ISBN-13: 9783319797670
  • ISBN-10: 3319797670
  • Publisher: Springer
  • Publish Date: March 2018
  • Dimensions: 9.21 x 6.14 x 0.4 inches
  • Shipping Weight: 0.6 pounds
  • Page Count: 169

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