  Data exploration and visualization systems are of great importance in the Big
Data era. Exploring and visualizing very large datasets has become a major
research challenge, of which scalability is a vital requirement. In this
survey, we describe the major prerequisites and challenges that should be
addressed by the modern exploration and visualization systems. Considering
these challenges, we present how state-of-the-art approaches from the Database
and Information Visualization communities attempt to handle them. Finally, we
survey the systems developed by Semantic Web community in the context of the
Web of Linked Data, and discuss to which extent these satisfy the contemporary
requirements.
