Data Analysis in the Cloud

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

Domenico Talia is a professor of computer engineering at University of Calabria and partner of two startups: DtoK Lab and Exeura. His research interests include parallel and distributed data mining algorithms, cloud computing, social data analysis, distributed knowledge discovery, mobile computing, green computing systems, peer-to-peer systems, and parallel programming. He is the author of several books including Service-Oriented Distributed Knowledge Discovery (CRC 2012) and Grid Middleware and Services: Challenges and Solutions (Springer 2010), and more than 300 papers in archival journals such as CACM, IEEE TKDE, ACM Computing Surveys, FGCS, Parallel Computing, IEEE Internet Computing and international conference proceedings. He is a member of the editorial boards of many journals including IEEE Transactions on Cloud Computing, the Future Generation Computer Systems journal, Journal of Cloud Computing, and The International Journal on Web and Grid Services.