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1
Rethinking Data-Intensive Science Using Scalable Analytics ..:
, In:
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data
,
Nothaft, Frank Austin
;
Massie, Matt
;
Danford, Timothy
... - p. 631-646 , 2015
Link:
https://dl.acm.org/doi/10.1145/2723372.2742787
RT T1 <cTitle>Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data</cTitle>: T1 <Title>Rethinking Data-Intensive Science Using Scalable Analytics Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2742787&Exemplar=1&LAN=DE A1 Nothaft, Frank Austin A1 Massie, Matt A1 Danford, Timothy A1 Zhang, Zhao A1 Laserson, Uri A1 Yeksigian, Carl A1 Kottalam, Jey A1 Ahuja, Arun A1 Hammerbacher, Jeff A1 Linderman, Michael A1 Franklin, Michael J. A1 Joseph, Anthony D. A1 Patterson, David A. PB ACM YR 2015 K1 design K1 Information systems K1 Data management systems K1 Database management system engines K1 Parallel and distributed DBMSs K1 Applied computing K1 Life and medical sciences K1 Computational biology K1 Genetics K1 Systems biology SP 631 OP 646 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2723372.2742787 DO https://dl.acm.org/doi/10.1145/2723372.2742787 SF ELIB - SuUB Bremen
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