Bilkent University
Department of Computer Engineering


Database Support for Fast, Complex Analytical Processing


Ugur Cetintemel
Brown University

Recent years have seen the widespread emergence of novel data-intensive analytics applications. These applications have outgrown the capabilities of existing systems software because of their need to operate with low latency and perform sophisticated data analysis, often using statistical or learning models, over high-rate data streams or "big data" collections.  This talk will present our ongoing work on building new data processing systems to support such applications. In particular, the talk will cover native database support for (i) real-time query processing for stream-based applications, (ii) integrated models for predictive and mining-oriented applications and (iii) multidimensional arrays for scientific and engineering applications. Bio: Ugur Cetintemel is an associate professor in the Computer Science Department at Brown University. His current work focuses on the architecture and performance of advanced database systems. Ugur received his B.S and M.S. degrees from Bilkent University, Turkey, and his Ph.D. degree from the University of Maryland, College Park. Ugur was a Brown University Manning Assistant Professor and a recipient of the NSF CAREER Award. He is also a co-founder and a senior architect for StreamBase Inc.


DATE: 17 February, 2010, Wednesday @ 13:40