A Recent Study of Emerging Tools and Technologies Boosting Big Data Analytics

摘要

Traditional technologies and data processing applications are inadequate for big data processing. Big Data concern very large-volume, complex formats, growing data sets with multiple, heterogeneous sources, and formats. With the reckless expansion in networking, communication, storage, and data collection capability, the big data science is rapidly growing in every engineering and science domain. Challenges in front of data scientists include different tasks, such as data capture, classification, storage, sharing, transfer, analysis, search, visualization, and decision making. This paper is aimed to discuss the need of big data analytics, journey of raw data to meaningful decision, and the different tools and technologies emerged to process the big data at different levels, to derive meaningful decisions out of it.