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Download the fantastic book titled Big Data Analytics and Cloud Computing written by Marcello Trovati, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Big Data Analytics and Cloud Computing", which was released on 12 January 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Big Data Analytics and Cloud Computing by Marcello Trovati PDF

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.

Big Data Analytics and Cloud Computing

Detail About Big Data Analytics and Cloud Computing PDF

  • Author : Marcello Trovati
  • Publisher : Springer
  • Genre : Computers
  • Total Pages : 169 pages
  • ISBN : 3319253131
  • PDF File Size : 10,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Big-Data Analytics and Cloud Computing

Big-Data Analytics and Cloud Computing
  • Publisher : Springer
  • File Size : 28,8 Mb
  • Release Date : 12 January 2016
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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

Cloud Computing for Geospatial Big Data Analytics

Cloud Computing for Geospatial Big Data Analytics
  • Publisher : Springer
  • File Size : 53,8 Mb
  • Release Date : 11 December 2018
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This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of

Big-Data Analytics for Cloud, IoT and Cognitive Computing

Big-Data Analytics for Cloud, IoT and Cognitive Computing
  • Publisher : John Wiley & Sons
  • File Size : 36,8 Mb
  • Release Date : 17 March 2017
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The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data

Big Data Analytics and Cloud Computing

Big Data Analytics and Cloud Computing
  • Publisher : MileStone Research Publications
  • File Size : 22,7 Mb
  • Release Date : 05 September 2021
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Big data analytics and cloud computing is the fastest growing technologies in current era. This text book serves as a purpose in providing an understanding of big data principles and

High-Performance Big-Data Analytics

High-Performance Big-Data Analytics
  • Publisher : Springer
  • File Size : 45,7 Mb
  • Release Date : 16 October 2015
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This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks
  • Publisher : IGI Global
  • File Size : 42,5 Mb
  • Release Date : 11 September 2020
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Vehicular traffic congestion and accidents remain universal issues in today’s world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge.