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  • Data Analysis in the Cloud: Models, Techniques and Applications by Domenico Talia book cover
  • Data Analysis in the Cloud: Models, Techniques and Applications by Domenico Talia book cover
  • Data Analysis in the Cloud: Models, Techniques and Applications by Domenico Talia book cover
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Data Analysis in the Cloud: Models, Techniques and Applications

by Domenico Talia

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Cloud-scale methods for analyzing internet data

$47.33 USD
$47.33 USD $47.33 USD

Paperback New English

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AlbakiReads Editorial

Cloud-scale methods for analyzing internet data

Domenico Talia’s guide maps the technical foundations of analyzing large, distributed digital data sources with cloud computing and storage. It brings together scalable data mining, knowledge discovery, cloud models, and systems, then gives dedicated attention to MapReduce and NoSQL approaches. The scope also extends to high-performance distributed analysis, connecting established cloud-data techniques with research areas including pervasive Big Data computing, data-intensive exascale computing, and large-scale social-network analysis. At 150 pages, it presents a focused overview of the models and techniques used to organize analysis at cloud scale.

Good fit for readers who enjoy

  • Students and practitioners studying cloud-based data analytics
  • Readers seeking an introduction to MapReduce, NoSQL, and distributed data analysis
  • Researchers interested in Big Data and large-scale social-network analysis

Themes

Cloud computingScalable data miningKnowledge discoveryDistributed analysisBig Data

Based on publisher information and book metadata.

Book 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.

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