Data Analysis in the Cloud

Models, Techniques and Applications

Nonfiction, Computers, Advanced Computing, Management Information Systems, Database Management, Reference & Language, Reference
Cover of the book Data Analysis in the Cloud by Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Elsevier Science
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Author: Domenico Talia, Paolo Trunfio, Fabrizio Marozzo ISBN: 9780128029145
Publisher: Elsevier Science Publication: September 15, 2015
Imprint: Elsevier Language: English
Author: Domenico Talia, Paolo Trunfio, Fabrizio Marozzo
ISBN: 9780128029145
Publisher: Elsevier Science
Publication: September 15, 2015
Imprint: Elsevier
Language: English

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.

Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.

  • Introduces data analysis techniques and cloud computing concepts
  • Describes cloud-based models and systems for Big Data analytics
  • Provides examples of the state-of-the-art in cloud data analysis
  • Explains how to develop large-scale data mining applications on clouds
  • Outlines the main research trends in the area of scalable Big Data analysis
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud.

Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis.

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