Big data analysis

Abstract

“Big Data” can be considered as an expression which has spread suddenly. It could be depicted as a pioneering mechanism for saving, distributing, managing, visualizing and analyzing large data along with very high velocity and approaches for managing incompetent quantity of data. Here, the state-of-the-art and background of big data are reviewed. Every review-related technology and general background of big data are firstly reviewed, for example IoT, cloud computing, Hadoop and data centers. Then, we concentrate on every value chain phase belongs to big data such as data acquisition, data generation, data analysis and data storage. For the four phases, the general background is presented, the technicalities are discussed, and most recent advances are reviewed. Eventually, the various big data representative applications are examined, containing IoT, enterprise management, medial applications, online social networks, smart grid and collective intelligence. Those argumentations pursue to supply an overall overview for readers interested in this exciting area. The survey here is finalized with an argumentation of future directions and open problems.