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Peeking into the optimization of data flow programs with MapReduce-style UDFs

Fabian Hueske and Mathias Peters and Aljoscha Krettek and Matthias Ringwald and Kostas Tzoumas and Volker Markl and Johann-Christoph Freytag

ICDE, 1292-1295. 2013

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Math-2 Task Overview

Schubotz Moritz; Aizawa Akiko; Kohlhase Michael; Ounis Iadh

Proceedings of the 11th NTCIR Conference, 88-98. 2014

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Continuous Training and Deployment of Deep Learning Models

Ioannis Prapas, Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Volker Markl

Datenbank Spektrum 2021

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PolyBench: The First Benchmark for Polystores

Jeyhun Karimov, Tilmann Rabl, Volker Markl

TPCTC 2018, 24-41. 2018

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AStream: Ad-hoc Shared Stream Processing

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the 2019 International Conference on Management of Data (SIGMOD 2019), 607–622. 2019

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Benchmarking Distributed Stream Data Processing Systems

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, 1507-1518. 2018

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AJoin: Adhoc Stream Joins at Scale

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the VLDB Endowment 2020

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Operators for Analyzing and Modifying\\Probabilistic Data – A Question of Efficiency

Jochen Adamek, Katrin Eisenreich, Volker Markl, Philipp Roesch

Proc. of BTW '11 2011

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Agora: Bringing Together Datasets, Algorithms, Models and More in a Unified Ecosystem [Vision]

Jonas Traub, Zoi Kaoudi, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

SIGMOD Record 2021

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Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing Systems

Jonas Traub, Philipp Marian Grulich, Alejandro Rodríguez Cuéllar, Sebastian Bress, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

ACM Transactions on Database Systems 2020

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