Title: Enabling Interactive Data Exploration over Big Data
Speaker: Professor Ugur Cetintemel (Brown University, USA)
Date & Time: May 15, 2014, Thursday, 11am-12pm
Venue: SLV300 0.2.11
Abstract:
Interactive Data Exploration (IDE) is quickly becoming a key ingredient of discovery-oriented applications in diverse areas, including scientific computing, financial analysis, evidence-based medicine, and genomics. At the same time, traditional database systems and tools do not offer adequate support for IDE. They are not designed for human-in-the-loop (interactive) usage with low response times and are built based on the assumption that the users already have a good understanding of the structure and contents of the database, as well as the questions to be asked.
This talk will give an overview of three complementary projects that we have recently initiated at Brown to address these limitations and make progress towards enabling IDE over large data sets. In the first project, called Query Steering, we are leveraging profiling and predictive techniques to offer customized data navigation and visualization support. In SearchLight, we are marrying constraint programming and database techniques to support ad-hoc online data exploration and mining. Finally, in the Tupleware project, we are building a new main-memory data processing platform for interactive analytics, learning and visualization.
About the speaker: https://sites.google.com/a/brown.edu/ugur-cetintemel/