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The Power of Nested Parallelism in Big Data Processing – Hi..:

, In: Proceedings of the 2021 International Conference on Management of Data,

Gévay, Gábor E. ; Quiané-Ruiz, Jorge-Arnulfo ; Markl, Volker - p. 605-618 , 2021

Link: https://dl.acm.org/doi/10.1145/3448016.3457287

RT 
T1 <cTitle>Proceedings of the 2021 International Conference on Management of Data</cTitle>: T1 <Title>The Power of Nested Parallelism in Big Data Processing – Hitting Three Flies with One Slap –</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3457287&Exemplar=1&LAN=DE
				
A1 Gévay, Gábor E.
A1 Quiané-Ruiz, Jorge-Arnulfo
A1 Markl, Volker
PB ACM
YR 2021
K1 nested data
K1 nested parallel collections
K1 nested parallel operations
K1 Information systems
K1 Data management systems
K1 Query languages
K1 Query languages for non-relational engines
K1 MapReduce languages
K1 Database design and models
K1 Data model extensions
K1 Database management system engines
K1 Parallel and distributed DBMSs
K1 MapReduce-based systems
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Abstraction, modeling and modularity
K1 Software notations and tools
K1 General programming languages
K1 Language types
K1 Distributed programming languages
K1 Distributed systems organizing principles
K1 Cloud computing
SP 605
OP 618
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3448016.3457287
DO https://dl.acm.org/doi/10.1145/3448016.3457287
SF ELIB - SuUB Bremen

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