ABSTRACT
The big data analytics (BDA) methodology for data-based environments is growing rapidly and implementation in present activities and enormously varying the strategy of revolution. The significance of data analytics has formed extraordinary new research in order to solve data storage, handling and processing issues. There exists noteworthy gaps in data for practitioners and researchers on the statistics and data analytics tool which are used to extract knowledge in huge big data. Notwithstanding different research studies and efforts that have been suggested presently on process of big data for performance enhancement. Review and systematic analysis on big data, comparison and estimation of methods, major challenges, data sources and significant solution are currently lacking. To overcome these research gaps, this work describes various contributions: present a survey of recent trends of analytics tools, methodologies, challenges and weakness. Classify and discuss various applications and data sources where analytics have significant impact. Various contribution of this research consists of identifying data analytics problems and solutions, and future research scenarios that need researcher's attention. This chapter gives insight suggestion that could assist practitioners, researchers, data providers of BDA on the present issues, and strategy that would lessen these challenges.
