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Stan Zdonik

Affiliations: 
Computer Science Brown University, Providence, RI 
Area:
Database Systems, Distributed Systems
Google:
"Stan Zdonik"
Bio:

https://www.genealogy.math.ndsu.nodak.edu/id.php?id=98359

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Parents

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Michael Martin Hammer grad student 1983 MIT

Children

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Donald P. Carney grad student 2005 Brown
Ying Xing grad student 2006 Brown
Emine N. Tatbul grad student 2007 Brown
Tingjian Ge grad student 2009 Brown
Jeong-Hyon Hwang grad student 2009 Brown

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Publications

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Crotty A, Galakatos A, Dursun K, et al. (2015) An architecture for compiling UDF-centric workflows Proceedings of the Vldb Endowment. 8: 1466-1477
Elmore A, Duggan J, Stonebraker M, et al. (2015) A demonstration of the BigDAWG polystore system Proceedings of the Vldb Endowment. 8: 1908-1911
Meehan J, Tatbul N, Zdonik S, et al. (2015) S-store: Streaming meets transaction processing Proceedings of the Vldb Endowment. 8: 2134-2145
Kalinin A, Cetintemel U, Zdonik S. (2015) Searchlight: Enabling integrated search and exploration over large multidimensional data Proceedings of the Vldb Endowment. 8: 1094-1105
Kalinin A, Cetintemel U, Zdonik S. (2014) Interactive data exploration using Semantic Windows Proceedings of the Acm Sigmod International Conference On Management of Data. 505-516
Cetintemel U, Du J, Kraska T, et al. (2014) S-Store: A streaming NewSQL system for big velocity applications Proceedings of the Vldb Endowment. 7: 1633-1636
Pavlo A, Curino C, Zdonik S. (2012) Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems Proceedings of the Acm Sigmod International Conference On Management of Data. 61-72
Akdere M, Cetintemel U, Riondato M, et al. (2011) The case for predictive database systems: Opportunities and challenges Cidr 2011 - 5th Biennial Conference On Innovative Data Systems Research, Conference Proceedings. 167-174
Ge T, Zdonik S. (2009) Light-weight, runtime verification of query sources Proceedings - International Conference On Data Engineering. 30-41
Ge T, Zdonik S. (2008) A skip-list approach for efficiently processing forecasting queries Proceedings of the Vldb Endowment. 1: 984-995
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