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Fabian Nagel
Fabian Nagel
Amazon Web Services
Verified email at amazon.com
Title
Cited by
Cited by
Year
Code generation for efficient query processing in managed runtimes
F Nagel, G Bierman, SD Viglas
Proceedings of the VLDB Endowment 7 (12), 1095-1106, 2014
402014
Reducing database locking contention through multi-version concurrency
M Sadoghi, M Canim, B Bhattacharjee, F Nagel, KA Ross
Proceedings of the VLDB Endowment 7 (13), 1331-1342, 2014
372014
Recycling in pipelined query evaluation
F Nagel, P Boncz, SD Viglas
2013 IEEE 29th International Conference on Data Engineering (ICDE), 338-349, 2013
352013
Reducing database locking contention using multi-version data record concurrency control
B Bhattacharjee, M Canim, MS Hamedani, F Nagel, KA Ross
US Patent 9,336,258, 2016
242016
Processing declarative queries through generating imperative code in managed runtimes
SD Viglas
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1610-1611, 2017
212017
Integrated Querying of SQL database data and S3 data in Amazon Redshift.
M Cai, M Grund, A Gupta, F Nagel, I Pandis, Y Papakonstantinou, ...
IEEE Data Eng. Bull. 41 (2), 82-90, 2018
112018
Self-managed collections: Off-heap memory management for scalable query-dominated collections.
F Nagel, GM Bierman, A Dragojevic, S Viglas
EDBT, 61-71, 2017
42017
Recycling intermediate results in pipelined query evaluation
F Nagel
MSc thesis, Tuebingen University, 2010
32010
Combining nested data operations for distributed query processing
I Pandis, P Parchas, M Petropoulos, FO Nagel, Y Papakonstantinou
US Patent 11,321,330, 2022
2022
Amazon Redshift re-invented
ACM SIGMOD, 2022
2022
Amazon Redshift Re-invented
N Armenatzoglou, S Basu, N Bhanoori, M Cai, N Chainani, K Chinta, ...
2022
Amazon Redshi Re-invented
N Armenatzoglou, S Basu, N Bhanoori, M Cai, N Chainani, K Chinta, ...
2022
Efficient query processing in managed runtimes
FO Nagel
The University of Edinburgh, 2015
2015
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Articles 1–13