Big data visualization: Review of techniques and datasets
Luis Eder Velazquez Pena, Lisbeth Rodríguez-Mazahua, Giner Alor‐Hernández, Beatriz Alejandra Olivares Zepahua, Silvestre Gustavo Peláez Camarena, Isaac Machorro-Cano · 2017
In the last 20 years the term of Big Data took strength which refers to datasets that in size exceed the ability of typical database tools to capture store manage and analyze. Big Data visual analysis is a new field that is emerging as a powerful tool for extracting useful information. This paper discusses the revision of 83 articles on visualization techniques for Big Data of the last six years for the future realization of a comparative analysis of these techniques and to determine which are the most optimistic when analyzing Big Data.