|the comprehension of Big Data Visual Analytics
|| Big Data meets our daily life in various ways. It comprises the handling of mass data, e.g. generated by people due to their social interaction in Web 2.0 platforms
or industry applications that monitor statistics critical values of information. Although these are just two of many examples where mass data occur, their common potential
lies in the capability of using these information the context of the semantic web, gathering knowledge about structured as well as unstructured data from various sources.
Beside key words like "Hadoop" that focus on scalable and rapid data processing, handling the output of such systems builds the key link to the system's users. That's why,
this demo site is used to demonstrate advanced possibilities of visual data analytics. The visualizations are built on data provided by Fraunhofer IIS who, recorded position,
speed and acceleration values from sensors attached to players shoes, the ball and goalies' gloves during a 60 minutes soccer match. That data collection resulted in nearly
50 Million datasets with 13 characteristics and some hand-made statistics (e.g. ball possession duration). Combining these data sources, one is able to gather wisdom
about the match progress and identify facts about goal scoring strategies and pass performance, just to mention three information that can be derived from this huge amount of
data. Feel free to get in touch with the demo now Below you find some information about the diagrams (click the colored key words for navigation help).