Computer Science Reviews and Trends: Data Analysis in the Cloud by Domenico Talia book FB2, EPUB
9780128029145 0128029145 " 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 conceptsDescribes cloud-based models and systems for Big Data analyticsProvides examples of the state-of-the-art in cloud data analysisExplains how to develop large-scale data mining applications on cloudsOutlines the main research trends in the area of scalable Big Data analysis, Data Analysis in the Cloud: Models, Techiques and Applications introduces and discusses models, methods, techniques and systems to analyze the large amount of digital data sources available on the Internet by using the computing and storage facilities of Cloud. Coverage includes scalable data mining and knowledge discovery techniques together with Cloud computing concepts, models and systems. Included are techniques for conducting high-performance distributed analysis of large data on Clouds. 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
9780128029145 0128029145 " 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 conceptsDescribes cloud-based models and systems for Big Data analyticsProvides examples of the state-of-the-art in cloud data analysisExplains how to develop large-scale data mining applications on cloudsOutlines the main research trends in the area of scalable Big Data analysis, Data Analysis in the Cloud: Models, Techiques and Applications introduces and discusses models, methods, techniques and systems to analyze the large amount of digital data sources available on the Internet by using the computing and storage facilities of Cloud. Coverage includes scalable data mining and knowledge discovery techniques together with Cloud computing concepts, models and systems. Included are techniques for conducting high-performance distributed analysis of large data on Clouds. 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