Chapter 5 - Research Trends in Big Data Analysis

Abstract

Big data analysis is a very active research area with significant impact on industrial and scientific domains where is important to analyze very large and complex data repositories. In particular, in many cases data to be analyzed are stored in cloud platforms and elastic computing clouds facilities are exploited to speedup the analysis. This chapter outlines and discusses main research trends in big data analytics and cloud systems for managing and mining large-scale data repositories. Topics and trends in the areas of exascale computing and social data analysis are reported. Section 5.1 discusses issues and challenges for implementing massively parallel and/or distributed applications in the area of big data analysis on exascale systems. Section 5.2 discusses recent trends in social data analysis, with a focus on mining mobility patterns from large volumes of trajectory data from online social network data. Finally, Section 5.3 discusses key research areas for the implementation of scalable data analytics dealing with huge, distributed data sources.