64 Big Data Analysis for Data Visualization: A Review Zhwan M. Khalid, Subhi R. M. Zeebaree Abstract: One of the main characteristics of scaling data is complexity. Heterogeneous data contributes to data integration and the process of big data problems. Both of them are essential and difficult to visualize and interpret large-scale databases since they require considerable data processing and storage capacity. The data age, where data grows exponentially, is a significant struggle to extract data in a manner that the human mind can grasp. This paper reviews and provides data visualization and the Heterogeneous Distributed Storage description and their challenges using different methods through some previous researches. Besides, the results of reviewed research works are compared, and the fundamental shift in the world of large data visualization of virtual reality is discussed. IJSB Literature Review Accepted 20 January 2021 Published 25 January 2021 DOI: 10.5281/zenodo.4462042 Keywords: Big Data, Heterogeneous, Visualization, Distribute Data Value. Volume: 5, Issue: 2 Page: 64-75 2021 International Journal of Science and Business Journal homepage: ijsab.com/ijsb Zhwan M. Khalid (corresponding author), Information System Engineering Dept., Erbil polytechnic University, KRG-Iraq. eng.zhwan90@uor.edu.krd Subhi R.M Zebaree, Duhok Polytechnic University, KRG-Iraq. subhi.rafeeq@dpu.edu.krd About Author (s)