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Publications

G

Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Volker Markl

CoRR abs/1809.06845 2018

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Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Loránd Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

ICDE 2021

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Handling Iterations in Distributed Dataflow Systems

Gábor E. Gévay, Juan Soto, Volker Markl

ACM Comput. Surv., 1-38. 2021

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F

Expand your Training Limits! Generating Training Data for ML-based Data Management

Francesco Ventura, Zoi Kaoudi, Jorge Arnulfo Quiane Ruiz, Volker Markl

SIGMOD 2021

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From Cleaning before ML to Cleaning for ML

Felix Neutatz, Binger Chen, Ziawasch Abedjan, Eugene Wu

IEEE Data Engineering Bulletin 2021

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AdCom: Adaptive Combiner for Streaming Aggregations

Felipe Gutierrez, Kaustubh Beedkar, Abel Souza, Volker Markl

EDBT 2021

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Mapping enterprise entities to text segments

Falk Brauer, Alexander Löser, Hong-Hai Do

Proceedings of the 2nd PhD workshop on Information and knowledge management, 85-88. 2008

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E

Iterative parallel data processing with stratosphere: an inside look

Stephan Ewen and Sebastian Schelter and Kostas Tzoumas and Daniel Warneke and Volker Markl

SIGMOD Conference, 1053-1056. 2013

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Benchmarking in the Cloud: What It Should, Can, and Cannot Be

Enno Folkerts, Alexander Alexandrov, Kai Sachs, Alexandru Iosup, Volker Markl, Cafer Tosun

Selected Topics in Performance Evaluation and Benchmarking, Part of the Lecture Notes in Computer Science book series (LNCS), TPCTC 2012, 173-188. 2012

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