A proposed architecture for collaborative data visualization systems
Negar Hedayati, Maryam Khademi · 2014
Managing knowledge through analyzing big data is a complex and difficult task owing to extensive amount of hidden information and patterns within them. Visualization is a technique that helps analysts to overcome such difficulties by representing data in a graphical view. Collaborative visualization refers to a group effort of analyzers who work on a same problem where they share their collective knowledge over the issue. Providing a flexible, robust and powerful system helps the analysts to collaborate better while investigating a problem. In this paper we present a 5-tier architecture for developing a collaborative visualization system which addresses several aspects of such system from importing of data to visualizing them on different devices.