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Demonstrating efficient query processing in heterogeneous environments

Tomas Karnagel and Matthias Hille and Mario Ludwig and Dirk Habich and Wolfgang Lehner and Max Heimel and Volker Markl

International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22-27, 2014, 693–696. 2014

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Asymmetry in Large-Scale Graph Analysis, Explained

Vasiliki Kalavri and Stephan Ewen and Kostas Tzoumas and Vladimir Vlassov and Volker Markl and Seif Haridi

Second International Workshop on Graph Data Management Experiences and Systems, GRADES 2014, co-loated with SIGMOD/PODS 2014, Snowbird, Utah, USA, June 22, 2014 2014

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Demand-based Sensor Data Gathering with Multi-Query Optimization

Julius Hülsmann, Jonas Traub, Volker Markl

VLDB 2020

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M4: A Visualization-Oriented Time Series Data Aggregation

Uwe Jugel and Zbigniew Jerzak and Gregor Hackenbroich and Volker Markl

PVLDB, 797–808. 2014

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Faster Visual Analytics through Pixel-Perfect Aggregation

Uwe Jugel and Zbigniew Jerzak and Gregor Hackenbroich and Volker Markl

PVLDB, 1705–1708. 2014

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VDDA: automatic visualization-driven data aggregation in relational databases

Uwe Jugel and Zbigniew Jerzak and Gregor Hackenbroich and Volker Markl

VLDB J., 53–77. 2016

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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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Efficient Window Aggregation with General Stream Slicing

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

22nd International Conference on Extending Database Technology (EDBT 2019). 2019

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