Real-Time Query and Visualization of Large-Scale Data Streams

Rubicon Project: Query Computer Science, 2014-15

Liaison(s): Avinash Shahdadpuri
Advisor(s): Chris Stone
Students(s): Victor Bhattacharyya (PM-S), Bruce Yan (PM-F), Isabella Funke, Xiaofan Fang

The Rubicon Project Clinic team is working to build a large-scale data pipeline that can ingest data in many formats so that the data can be queried and visualized in real-time. Users can ask for information about the data, and visualizations for user queries should update in real-time, and be available on a dashboard that loads in under ten seconds. Additionally, the pipeline should be able to handle one billion events per day.