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{ "item_title" : "Data Analysis in the Cloud", "item_author" : [" Domenico Talia", "Paolo Trunfio", "Fabrizio Marozzo "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/12/802/881/0128028815_b.jpg", "price_data" : { "retail_price" : "39.95", "online_price" : "39.95", "our_price" : "39.95", "club_price" : "39.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Analysis in the Cloud|Domenico Talia

Data Analysis in the Cloud : Models, Techniques and Applications

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9780128028810
  • ISBN-10: 0128028815
  • Publisher: Elsevier
  • Publish Date: September 2015
  • Dimensions: 8.9 x 6 x 0.3 inches
  • Shipping Weight: 0.6 pounds
  • Page Count: 150

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