[jeffery@CS.Berkeley.EDU: DB Seminar, January 26th: Christopher Jermaine]

----- Forwarded message from Shawn Jeffery <jeffery(at)CS(dot)Berkeley(dot)EDU> -----

From: Shawn Jeffery <jeffery(at)CS(dot)Berkeley(dot)EDU>
To: dblunch(at)triplerock(dot)cs(dot)berkeley(dot)edu
Subject: DB Seminar, January 26th: Christopher Jermaine

Database Seminar
http://db.cs.berkeley.edu/dbseminar.php

Friday, January 26th, 2007
606 Soda Hall (*Note the room change from last semester)
1-2:30pm

Speaker:
Christopher Jermaine , University of Florida

Title:
Supporting Scalable Online Statistical Processing

Abstract:
Data warehousing and analytic processing have been active areas of
database research and development for nearly two decades. Many experts
now consider these topics to be "solved", especially with regard to
performance. However, an argument can be made that users and databases
have simply reached an uneasy truce with regard to analytic
processing. If users avoid ad-hoc, exploratory queries that might take
days to execute, then of course the database performs just fine.

In this talk, I will describe query processing in a database system
called DBO that is designed from the ground up to support interactive
analytic processing. DBO can run database queries from start to finish
and produce exact answers in a scalable fashion. However, unlike any
existing research or production system, DBO is able to produce
statistically meaningful approximate answers at all times throughout
query execution. These answers are continuously updated from start to
finish, even for "huge" queries requiring arbitrary quantities of
temporary secondary storage. Thus, a user can stop execution whenever
satisfied with the query accuracy, which may translate to dramatic
time savings during exploratory processing.

Bio:
Chris Jermaine is an assistant professor of computer science at the
University of Florida. His research is generally concerned with
databases and data analysis. With his students and colleagues at UF he
has published papers in forums such as ACM TODS, VLDB, SIGMOD, and
ICDE. He is the recipient of an NSF CAREER award for his research on
approximate query processing.

----- End forwarded message -----