- This event has passed.
January 18, 2018 3:00 pm - 4:30 pm EST
Title: Rethinking Query Execution on Big Data
Speaker: Dan Suciu, Professor of Computer Science at the University of Washington
Location: Northeastern University, 45 Forsyth St., Cargill Hall, Lower Level, Room #97, Boston, Massachusetts 02115
Database engines today use the same approach to evaluate a query as they did forty years ago: convert the query into a query plan, then execute each operator individually, e.g. a join, followed by another join, followed by duplicate elimination. It turns out that converting a query into binary joins is theoretically suboptimal, and this can lead to poor performance over very large datasets. The theoretical database research community has studied a new query evaluation paradigm, which in some cases leads to provably optimal algorithms. In this talk I will give a brief survey of this new paradigm: I will review the AGM bound on the query size (Atserias, Grohe and Marx), the worst-case optimal “generic join” algorithm for full conjunctive queries (Ngo, Re, and Rudra), and our new algorithm for aggregate queries, called PANDA, which matches the best known running times for certain graph problems.
About the Speaker
Dan Suciu is a Professor in Computer Science at the University of Washington. He received his Ph.D. from the University of Pennsylvania in 1995, was a principal member of the technical staff at AT&T Labs and joined the University of Washington in 2000. Suciu is conducting research in data management, with an emphasis on topics related to Big Data and data sharing, such as probabilistic data, data pricing, parallel data processing, data security. He is a co-author of two books Data on the Web: from Relations to Semistructured Data and XML, 1999, and Probabilistic Databases, 2011. He is a Fellow of the ACM, holds twelve US patents, received the best paper award in SIGMOD 2000 and ICDT 2013, the ACM PODS Alberto Mendelzon Test of Time Award in 2010 and in 2012, the 10 Year Most Influential Paper Award in ICDE 2013, the VLDB Ten Year Best Paper Award in 2014, and is a recipient of the NSF Career Award and of an Alfred P. Sloan Fellowship. Suciu serves on the VLDB Board of Trustees, and is an associate editor for the Journal of the ACM, VLDB Journal, ACM TWEB, and Information Systems and is a past associate editor for ACM TODS and ACM TOIS. Suciu’s PhD students Gerome Miklau, Christopher Re and Paris Koutris received the ACM SIGMOD Best Dissertation Award in 2006, 2010, and 2016 respectively, and Nilesh Dalvi was a runner up in 2008.